Job Summary

We are seeking a highly skilled Detection Engineering Specialist to design, develop, and optimize security detections that identify advanced cyber threats across enterprise environments. In this role, you will work closely with the Security Operations Center (SOC), Threat Hunting, Incident Response, and Threat Intelligence teams to build high-fidelity detection rules, automate security monitoring, and improve the organization's ability to detect and respond to evolving threats.

The ideal candidate has experience with SIEM, EDR/XDR, detection engineering, scripting, and security analytics, along with a strong understanding of attacker techniques mapped to the MITRE ATT&CK framework.

Key Responsibilities

• Design, develop, and maintain high-quality detection rules for SIEM, EDR, cloud, and network security platforms.
• Create and optimize detection logic using Sigma, Kusto Query Language (KQL), Splunk SPL, or similar query languages.
• Develop use cases to detect ransomware, phishing, insider threats, credential theft, lateral movement, persistence, privilege escalation, and data exfiltration.
• Analyze attack techniques and map detections to the MITRE ATT&CK framework.
• Collaborate with Threat Intelligence teams to convert Indicators of Compromise (IOCs) and Threat Intelligence into actionable detection content.
• Improve detection coverage across endpoints, identities, cloud workloads, SaaS applications, and network infrastructure.
• Reduce false positives through tuning and continuous improvement of detection rules.
• Build automated detection workflows using SOAR platforms.
• Develop security dashboards, alerts, and analytics to improve SOC visibility.
• Support Incident Response teams by enhancing detection capabilities based on lessons learned from investigations.
• Conduct gap assessments to identify missing detection coverage.
• Create custom detections for emerging threats and zero-day vulnerabilities.
• Document detection logic, playbooks, and engineering standards.
• Stay current on cyber threats, malware trends, attacker tactics, and emerging detection techniques.

Required Qualifications

• Bachelor's degree in Cyber Security, Computer Science, Information Technology, or a related field.
• 3–7+ years of experience in Detection Engineering, SOC, Threat Hunting, Incident Response, or Security Engineering.
• Strong knowledge of enterprise security monitoring and detection methodologies.
• Experience building and tuning SIEM detection rules.
• Hands-on experience with EDR/XDR platforms.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and documentation abilities.

Required Technical Skills

Security Monitoring & SIEM

• Microsoft Sentinel
• Splunk Enterprise Security
• Google Security Operations (Chronicle)
• IBM QRadar
• Elastic Security
• Sumo Logic

Detection Engineering

• Sigma Rules
• Kusto Query Language (KQL)
• Splunk Search Processing Language (SPL)
• YARA
• Regular Expressions (Regex)

Endpoint Detection & Response (EDR/XDR)

• Microsoft Defender XDR
• CrowdStrike Falcon
• SentinelOne
• Cortex XDR
• VMware Carbon Black

Threat Intelligence

• MITRE ATT&CK
• STIX/TAXII
• MISP
• VirusTotal
• Recorded Future
• OpenCTI

Automation & SOAR

• Microsoft Sentinel Automation
• Cortex XSOAR
• Splunk SOAR
• Tines

Programming & Scripting

• Python
• PowerShell
• Bash
• SQL

Cloud Security

• Microsoft Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)

Identity & Directory Services

• Microsoft Entra ID (Azure AD)
• Active Directory
• Okta

Networking

• TCP/IP
• DNS
• HTTP/HTTPS
• SMTP
• VPN
• Firewalls
• Proxy Logs

Operating Systems

• Windows
• Linux
• macOS

Preferred Qualifications

• Experience with threat hunting and malware analysis.
• Knowledge of detection-as-code methodologies.
• Experience securing hybrid and multi-cloud environments.
• Familiarity with Infrastructure as Code (Terraform or ARM/Bicep).
• Understanding of DevSecOps and CI/CD pipelines.
• Experience with purple team exercises and adversary emulation.
• Knowledge of Zero Trust architecture and identity security.

Preferred Certifications

• GIAC Certified Detection Analyst (GCDA)
• GIAC Certified Incident Handler (GCIH)
• GIAC Certified Enterprise Defender (GCED)
• CompTIA CySA+
• CompTIA Security+
• Microsoft Certified: Security Operations Analyst Associate (SC-200)
• Microsoft Certified: Cybersecurity Architect Expert (SC-100)
• Splunk Core Certified Power User
• CrowdStrike Certified Falcon Administrator
• Google Professional Cloud Security Engineer

Job Summary

We are seeking an experienced Generative AI Engineer to design, develop, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs) and Generative AI technologies. In this role, you will build AI copilots, intelligent chatbots, Retrieval-Augmented Generation (RAG) systems, AI agents, and enterprise automation solutions that enhance productivity and customer experiences.

You will collaborate with Data Scientists, Machine Learning Engineers, Software Engineers, Product Managers, and Cloud Engineers to develop secure, scalable, and production-ready AI applications.

Key Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI applications.
• Build AI-powered copilots, virtual assistants, and conversational AI solutions.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Fine-tune and customize Large Language Models (LLMs) for domain-specific use cases.
• Design and optimize prompts to improve model accuracy, consistency, and user experience.
• Develop AI agents capable of automating business workflows and decision-making processes.
• Integrate AI models with APIs, enterprise systems, and cloud services.
• Build scalable inference pipelines for high-performance AI applications.
• Evaluate model performance using automated testing and benchmarking frameworks.
• Monitor AI applications in production, troubleshoot issues, and optimize latency and cost.
• Collaborate with Data Engineers to prepare and manage datasets for model training and evaluation.
• Implement AI security, governance, and responsible AI best practices.
• Stay current with the latest advancements in Generative AI, LLMs, multimodal AI, and open-source AI frameworks.
• Document solution architecture, model behavior, and technical implementation details.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 3–7+ years of experience in AI, Machine Learning, or Software Engineering.
• Hands-on experience building Generative AI or LLM-based applications.
• Strong programming skills in Python.
• Experience deploying AI solutions to production environments.
• Solid understanding of software engineering principles, APIs, and cloud platforms.
• Strong analytical, communication, and problem-solving skills.

Required Technical Skills

Programming Languages

• Python
• SQL
• JavaScript (preferred)
• Java or C++ (preferred)

Generative AI & LLM Frameworks

• LangChain
• LlamaIndex
• Hugging Face Transformers
• OpenAI API
• Anthropic Claude API
• Google Gemini API

Large Language Models

• GPT-4/5 family
• Llama
• Mistral
• Gemma
• DeepSeek
• Qwen

AI Development

• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Function Calling
• Structured Output
• Model Evaluation

Vector Databases

• Pinecone
• Weaviate
• Chroma
• FAISS
• Milvus

Machine Learning Frameworks

• PyTorch
• TensorFlow
• Scikit-learn

Cloud Platforms

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

MLOps & DevOps

• Docker
• Kubernetes
• MLflow
• Git
• GitHub Actions
• CI/CD Pipelines

Databases

• PostgreSQL
• MySQL
• MongoDB
• Redis

Preferred Qualifications

• Experience developing enterprise AI copilots or knowledge assistants.
• Familiarity with multimodal AI (text, image, audio, and video models).
• Knowledge of AI governance, responsible AI, and model security.
• Experience with distributed computing and scalable AI infrastructure.
• Familiarity with Agile or Scrum methodologies.
• Contributions to open-source AI or machine learning projects are a plus.

Preferred Certifications

• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• Databricks Certified Machine Learning Professional
• NVIDIA Certified AI Professional

Benefits

• Competitive salary and annual performance bonus
• Medical, dental, and vision insurance
• Paid time off (PTO) and paid holidays
• Flexible remote and hybrid work options
• Professional development and certification reimbursement
• Employee stock purchase plan (where applicable)
• Wellness and employee assistance programs
• Career advancement opportunities
• Collaborative, innovative, and inclusive work environment

Preferred Soft Skills

• Strong problem-solving and analytical thinking
• Excellent written and verbal communication
• Ability to collaborate across cross-functional teams
• Adaptability in a fast-paced AI environment
• Strong attention to detail
• Continuous learning mindset

Job Summary

We are seeking an experienced NLP Data Scientist to join our AI team and build intelligent Natural Language Processing (NLP) solutions that power enterprise applications. The ideal candidate will develop, fine-tune, and deploy advanced NLP and Large Language Model (LLM) solutions for chatbots, document intelligence, semantic search, sentiment analysis, question answering, and text classification. You will collaborate with Data Scientists, Machine Learning Engineers, Product Managers, and Software Engineers to deliver scalable AI solutions that improve customer experiences and business outcomes.

Key Responsibilities

• Design, develop, and deploy advanced NLP and LLM-based applications.
• Build and optimize models for text classification, named entity recognition (NER), summarization, sentiment analysis, and topic modeling.
• Develop semantic search and Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Fine-tune transformer-based models such as BERT, RoBERTa, T5, Llama, and other open-source LLMs.
• Create conversational AI systems, virtual assistants, and enterprise chatbots.
• Perform text preprocessing, tokenization, feature engineering, and data cleaning.
• Evaluate model performance using appropriate NLP metrics and improve accuracy through experimentation.
• Collaborate with Data Engineers to build scalable data pipelines for text processing.
• Deploy NLP models using cloud platforms and MLOps best practices.
• Monitor production models, identify performance issues, and continuously improve model quality.
• Stay current with the latest advancements in NLP, Generative AI, and transformer architectures.
• Document technical designs, model architectures, and development processes.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, or a related field.
• 3–6+ years of experience in Natural Language Processing or Machine Learning.
• Strong programming skills in Python.
• Experience building production-ready NLP applications.
• Hands-on experience with transformer architectures and Large Language Models.
• Strong understanding of statistics, machine learning, and deep learning concepts.
• Experience working with large structured and unstructured datasets.
• Excellent analytical, communication, and problem-solving skills.

Required Technical Skills

Programming

• Python
• SQL

NLP Frameworks

• Hugging Face Transformers
• spaCy
• NLTK
• Gensim
• Sentence Transformers

Machine Learning & Deep Learning

• Scikit-learn
• TensorFlow
• PyTorch

Large Language Models

• Llama
• Mistral
• Gemma
• BERT
• RoBERTa
• T5
• GPT-based APIs

Generative AI

• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Function Calling

Vector Databases

• Pinecone
• Weaviate
• Chroma
• FAISS
• Milvus

Cloud Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

MLOps & Deployment

• Docker
• Kubernetes
• MLflow
• Git
• GitHub Actions
• CI/CD Pipelines

Data Visualization

• Power BI
• Tableau
• Matplotlib
• Plotly

Preferred Qualifications

• Experience with enterprise chatbot development.
• Knowledge of document AI and OCR pipelines.
• Experience implementing semantic search and knowledge retrieval systems.
• Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks.
• Experience working in Agile/Scrum development environments.
• Contributions to open-source NLP or AI projects are a plus.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• TensorFlow Developer Certificate
• Databricks Certified Machine Learning Professional

Benefits

• Competitive salary and annual performance bonus
• Medical, dental, and vision insurance
• Paid time off (PTO) and paid holidays
• Flexible remote or hybrid work options
• Professional development and certification reimbursement
• Employee wellness programs
• Career growth opportunities
• Collaborative and innovative work environment

Job Summary

We are seeking an experienced LLM Engineer (Large Language Model Engineer) to design, develop, deploy, and optimize enterprise-grade applications powered by Large Language Models (LLMs). You will work with foundation models, Retrieval-Augmented Generation (RAG), AI agents, vector databases, and cloud-native infrastructure to build scalable AI solutions for real-world business challenges.

The ideal candidate has hands-on experience with modern AI frameworks, transformer architectures, model evaluation, prompt engineering, distributed inference, and production AI systems. You will collaborate with AI researchers, machine learning engineers, data scientists, software engineers, and product managers to deliver innovative AI products.

Key Responsibilities

• Design, develop, and deploy production-ready applications powered by Large Language Models (LLMs).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Fine-tune and evaluate open-source and commercial foundation models for domain-specific use cases.
• Develop scalable inference APIs and microservices for AI applications.
• Implement prompt engineering, prompt optimization, and structured output techniques.
• Build autonomous AI agents and multi-agent workflows for business automation.
• Integrate LLMs with internal systems, third-party APIs, and enterprise applications.
• Develop data ingestion, embedding, indexing, and semantic search pipelines.
• Monitor model performance, latency, hallucinations, token usage, and operational costs.
• Optimize GPU utilization and inference performance for high-throughput AI workloads.
• Implement guardrails, content filtering, and AI safety controls for responsible AI deployment.
• Collaborate with DevOps and MLOps teams to automate AI model deployment and monitoring.
• Perform model evaluation using automated benchmarks and human feedback.
• Maintain technical documentation, architecture diagrams, and deployment procedures.
• Stay current with advances in Generative AI, transformer models, reasoning models, and AI agent frameworks.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related field.
• 4+ years of experience in Machine Learning, Artificial Intelligence, or Software Engineering.
• Hands-on experience building applications using Large Language Models (LLMs).
• Strong programming skills in Python.
• Experience with transformer architectures and modern NLP techniques.
• Proficiency with REST APIs and microservices architecture.
• Experience with Docker, Kubernetes, and cloud platforms.
• Strong understanding of distributed systems and scalable AI deployments.
• Excellent analytical, communication, and problem-solving skills.

Preferred Qualifications

• Experience fine-tuning open-source models such as Llama, Mistral, Qwen, or Gemma.
• Experience building RAG systems for enterprise search and knowledge management.
• Knowledge of AI agents, tool calling, and workflow orchestration.
• Experience with distributed inference frameworks such as vLLM or TensorRT-LLM.
• Familiarity with model evaluation frameworks and observability tools.
• Understanding of AI governance, privacy, and responsible AI practices.
• Experience with MLOps pipelines and continuous model deployment.

Technical Skills

Programming Languages

• Python
• SQL
• JavaScript (Basic)
• Bash

AI & Machine Learning

• Large Language Models (LLMs)
• Transformer Architecture
• Generative AI
• Natural Language Processing (NLP)
• Deep Learning
• Reinforcement Learning from Human Feedback (RLHF)
• Supervised Fine-Tuning (SFT)
• Parameter-Efficient Fine-Tuning (LoRA/QLoRA)

AI Frameworks & Libraries

• PyTorch
• TensorFlow
• Hugging Face Transformers
• Hugging Face Accelerate
• LangChain
• LlamaIndex
• DSPy
• OpenAI SDK
• Anthropic SDK

Vector Databases

• Pinecone
• Weaviate
• Milvus
• Chroma
• FAISS

AI Infrastructure

• Docker
• Kubernetes
• Ray
• vLLM
• NVIDIA TensorRT-LLM
• NVIDIA CUDA

Cloud Platforms

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Databases & Storage

• PostgreSQL
• MongoDB
• Redis
• Elasticsearch

DevOps & MLOps

• Git
• GitHub Actions
• MLflow
• Weights & Biases
• Apache Airflow
• CI/CD Pipelines

Preferred Certifications

• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Google Professional Machine Learning Engineer
• NVIDIA Certified AI Infrastructure Professional
• Databricks Certified Machine Learning Professional
• TensorFlow Developer Certificate (where applicable)

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent verbal and written communication
• Cross-functional collaboration
• Product-focused mindset
• Attention to detail
• Adaptability in a fast-paced environment
• Continuous learning and research orientation
• Technical leadership and mentoring

Benefits

• Competitive salary with annual performance bonus
• Equity or Restricted Stock Units (RSUs) (where applicable)
• Medical, Dental, and Vision insurance
• Flexible remote and hybrid work options
• Paid Time Off (PTO) and paid company holidays
• Professional development and certification reimbursement
• Annual learning and conference budget
• Employee wellness and mental health programs
• Paid parental leave
• Access to advanced AI infrastructure and GPU resources
• Career growth opportunities in cutting-edge AI research and engineering

Job Summary

We are looking for a highly motivated Cyber Security Analyst to join our growing Information Security team. In this role, you will be responsible for protecting the organization's networks, systems, cloud infrastructure, and sensitive data against cyber threats. You will monitor security events, investigate incidents, identify vulnerabilities, and collaborate with cross-functional teams to strengthen the organization's security posture.

The ideal candidate has experience with Security Operations Center (SOC) processes, SIEM tools, endpoint security, vulnerability management, and incident response. This position offers an opportunity to work with modern security technologies in a fast-paced enterprise environment.

Key Responsibilities

• Monitor security events and alerts using SIEM platforms such as Microsoft Sentinel, Splunk, or IBM QRadar.
• Investigate and respond to cybersecurity incidents, including malware infections, phishing attacks, unauthorized access, and data breaches.
• Analyze logs from endpoints, servers, cloud platforms, firewalls, and network devices to detect suspicious activities.
• Perform vulnerability assessments and coordinate remediation efforts with IT and engineering teams.
• Monitor and manage Endpoint Detection and Response (EDR/XDR) solutions such as Microsoft Defender, CrowdStrike, or SentinelOne.
• Conduct threat hunting to identify advanced persistent threats (APTs) and indicators of compromise (IOCs).
• Support security awareness initiatives by assisting with phishing simulations and employee cybersecurity training.
• Review firewall, VPN, identity, and access management policies to ensure secure configurations.
• Assist with security audits and compliance initiatives aligned with NIST Cybersecurity Framework, ISO/IEC 27001, SOC 2, HIPAA, or PCI DSS requirements.
• Develop and maintain incident response procedures, security documentation, and playbooks.
• Collaborate with Cloud, Network, Infrastructure, and DevOps teams to implement security best practices.
• Monitor cloud environments across AWS, Microsoft Azure, and Google Cloud Platform for potential security risks.
• Recommend and implement security improvements to reduce organizational risk.
• Stay informed about emerging cyber threats, vulnerabilities, and industry best practices.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related field.
• 2+ years of experience in Cyber Security, Security Operations Center (SOC), or Information Security.
• Strong understanding of networking concepts including TCP/IP, DNS, VPN, routing, switching, and firewalls.
• Experience using SIEM platforms such as Microsoft Sentinel, Splunk, IBM QRadar, or Elastic Security.
• Knowledge of Endpoint Detection and Response (EDR/XDR) platforms.
• Familiarity with Windows, Linux, and Active Directory environments.
• Understanding of common cyber attack techniques, malware, ransomware, phishing, and insider threats.
• Experience with vulnerability management tools such as Nessus, Qualys, or Rapid7.
• Knowledge of identity and access management concepts including Multi-Factor Authentication (MFA) and Single Sign-On (SSO).
• Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Experience with cloud security in AWS, Azure, or Google Cloud.
• Familiarity with MITRE ATT&CK Framework and Cyber Kill Chain.
• Knowledge of scripting languages such as Python or PowerShell for security automation.
• Experience with security orchestration and automation (SOAR) platforms.
• Understanding of Zero Trust Architecture and security best practices.
• Experience supporting regulatory compliance initiatives.

Technical Skills

Security Operations

• Security Monitoring
• Incident Response
• Threat Hunting
• Vulnerability Management
• Risk Assessment
• Malware Analysis
• Digital Forensics (Basic)

SIEM & Security Tools

• Microsoft Sentinel
• Splunk Enterprise Security
• IBM QRadar
• Microsoft Defender for Endpoint
• CrowdStrike Falcon
• SentinelOne
• Nessus
• Qualys
• Rapid7 InsightVM
• Wireshark

Cloud Security

• AWS Security
• Microsoft Azure Security
• Google Cloud Security
• Microsoft Entra ID (Azure AD)
• IAM
• CloudTrail
• Microsoft Defender for Cloud

Networking & Systems

• TCP/IP
• DNS
• VPN
• Firewalls
• Active Directory
• Windows Server
• Linux
• Microsoft Entra ID

Programming & Automation

• PowerShell
• Python
• Bash
• SQL (Basic)

Security Frameworks

• NIST Cybersecurity Framework (CSF)
• ISO/IEC 27001
• CIS Controls
• MITRE ATT&CK
• SOC 2
• PCI DSS
• HIPAA

Preferred Certifications

• CompTIA Security+
• CompTIA CySA+
• CompTIA PenTest+
• Certified Ethical Hacker (CEH)
• GIAC Certified Incident Handler (GCIH)
• Certified Information Systems Security Professional (CISSP)
• Microsoft Certified: Security Operations Analyst Associate (SC-200)
• Microsoft Certified: Cybersecurity Architect Expert (SC-100)
• AWS Certified Security – Specialty
• Certified Cloud Security Professional (CCSP)

Soft Skills

• Strong analytical and critical thinking skills
• Excellent problem-solving abilities
• Effective written and verbal communication
• Attention to detail
• Ability to work under pressure during security incidents
• Team collaboration and stakeholder management
• Continuous learning mindset
• Strong organizational and time management skills

Benefits

• Competitive salary with annual performance bonus
• Medical, Dental, and Vision insurance
• Life and Disability insurance
• Paid Time Off (PTO) and paid holidays
• Flexible remote and hybrid work options
• Certification and professional development reimbursement
• Employee Assistance Program (EAP)
• Wellness and mental health programs
• Career advancement opportunities
• Modern cybersecurity tools and training resources

Job Summary

We are seeking an experienced Analytics Engineer to join our growing Data & Analytics team. In this role, you will bridge the gap between Data Engineering and Business Intelligence by designing, building, and maintaining reliable, scalable, and high-quality data models that empower data-driven decision-making across the organization.

The ideal candidate has strong experience with SQL, dbt, modern cloud data warehouses, ETL/ELT pipelines, and business intelligence tools. You will collaborate closely with Data Engineers, Data Scientists, Product Managers, and Business Stakeholders to transform raw data into trusted analytical datasets and actionable insights.

Key Responsibilities

• Design, develop, and maintain scalable analytical data models using dbt and SQL.
• Build and optimize ELT/ETL pipelines for reliable data transformation.
• Develop semantic data models that support business reporting and self-service analytics.
• Collaborate with Data Engineers to improve data architecture and warehouse performance.
• Partner with Data Scientists to provide clean, analytics-ready datasets for machine learning initiatives.
• Create and maintain business metrics, KPIs, and data definitions across departments.
• Optimize SQL queries and improve warehouse performance for large-scale datasets.
• Implement automated testing, monitoring, and documentation for data pipelines.
• Ensure data accuracy, consistency, governance, and compliance with organizational standards.
• Support dashboard development using Power BI, Tableau, or Looker.
• Troubleshoot data quality issues and resolve pipeline failures.
• Maintain comprehensive documentation for data models, pipelines, and business logic.
• Participate in code reviews and promote engineering best practices.
• Work with cross-functional teams to identify new reporting and analytics opportunities.
• Continuously improve analytics infrastructure using modern data engineering methodologies.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or a related field.
• 3+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence.
• Advanced proficiency in SQL and relational databases.
• Hands-on experience with dbt (Data Build Tool).
• Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
• Experience building ETL/ELT pipelines.
• Knowledge of dimensional modeling (Star Schema, Snowflake Schema).
• Familiarity with Git version control and CI/CD workflows.
• Experience with business intelligence platforms such as Tableau, Power BI, or Looker.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Python for data processing and automation.
• Knowledge of Apache Airflow or similar workflow orchestration tools.
• Familiarity with Spark or Databricks.
• Experience working with large-scale cloud data platforms.
• Understanding of data governance, security, and privacy best practices.
• Experience supporting machine learning and AI workflows.
• Relevant certifications in cloud platforms or analytics technologies.

Technical Skills

Programming

• SQL
• Python
• Git

Data Warehousing

• Snowflake
• Google BigQuery
• Amazon Redshift
• Azure Synapse Analytics

Data Transformation

• dbt
• ETL/ELT
• Data Modeling
• Data Validation

Cloud Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

Business Intelligence

• Power BI
• Tableau
• Looker

Workflow & Automation

• Apache Airflow
• CI/CD
• GitHub Actions

Preferred Soft Skills

• Excellent communication and presentation skills
• Strong analytical thinking
• Attention to detail
• Problem-solving mindset
• Cross-functional collaboration
• Time management
• Project ownership
• Continuous learning mindset

Benefits

• Competitive salary and annual performance bonus
• Medical, Dental, and Vision insurance
• Paid Time Off (PTO) and company holidays
• Flexible remote/hybrid work options
• Professional development and certification reimbursement
• Employee wellness programs
• Career growth opportunities
• Collaborative and innovative work environment

Job Description

We are seeking an experienced Director of Cyber Security to lead and execute the organization's enterprise cybersecurity strategy, ensuring the confidentiality, integrity, and availability of critical business systems and data. This executive leadership role is responsible for overseeing Security Operations, Cloud Security, Security Engineering, Governance, Risk & Compliance (GRC), Identity and Access Management (IAM), and Incident Response.

The ideal candidate will partner with executive leadership, IT, engineering, legal, and business teams to build a proactive security program that aligns with business objectives while managing evolving cyber threats. The Director of Cyber Security will also lead security transformation initiatives, establish enterprise security policies, manage security teams, and ensure compliance with industry regulations and standards.

Key Responsibilities

• Develop and execute the organization's enterprise cybersecurity strategy and roadmap.
• Lead Security Operations Center (SOC), Security Engineering, Cloud Security, GRC, and Incident Response teams.
• Establish and maintain enterprise-wide cybersecurity policies, standards, and governance frameworks.
• Oversee security architecture for cloud, on-premises, and hybrid environments.
• Direct incident response, cyber investigations, and business continuity planning.
• Manage vulnerability management, penetration testing, and security assessments.
• Collaborate with executives and business leaders to align cybersecurity initiatives with organizational goals.
• Oversee Identity and Access Management (IAM), Privileged Access Management (PAM), and Zero Trust initiatives.
• Manage third-party security risk assessments and vendor security programs.
• Ensure compliance with frameworks and regulations such as NIST CSF, ISO/IEC 27001, SOC 2, PCI DSS, HIPAA, FedRAMP, and GDPR where applicable.
• Develop cybersecurity metrics, executive dashboards, and board-level security reports.
• Lead disaster recovery and cyber resilience initiatives.
• Manage cybersecurity budgets, technology investments, and vendor relationships.
• Mentor, recruit, and develop high-performing cybersecurity teams.
• Stay informed on emerging cyber threats, technologies, and regulatory requirements.

Required Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related field.
• Master's degree (MBA, Information Security, or Cybersecurity) preferred.
• 10–15+ years of progressive experience in cybersecurity, with at least 5 years in a leadership or management role.
• Proven experience leading enterprise cybersecurity programs and cross-functional security teams.
• Strong knowledge of cloud security (AWS, Microsoft Azure, Google Cloud Platform), network security, application security, and security architecture.
• Experience managing Security Operations Centers (SOC), Incident Response, Threat Intelligence, and Vulnerability Management programs.
• Strong understanding of Identity and Access Management (IAM), Zero Trust Architecture, and Privileged Access Management (PAM).
• Experience with cybersecurity governance, risk management, and compliance frameworks.
• Excellent leadership, communication, budgeting, and stakeholder management skills.

Preferred Certifications

• CISSP (Certified Information Systems Security Professional)
• CISM (Certified Information Security Manager)
• CCSP (Certified Cloud Security Professional)
• CRISC (Certified in Risk and Information Systems Control)
• GIAC Certifications (GCIH, GCIA, GPEN)
• Microsoft Certified: Cybersecurity Architect Expert (SC-100)
• AWS Certified Security – Specialty
• Certified Ethical Hacker (CEH) (preferred)

Technical Skills

• Enterprise Security Strategy
• Security Operations Center (SOC)
• Security Information and Event Management (SIEM)
• Microsoft Sentinel
• Splunk
• Microsoft Defender XDR
• CrowdStrike Falcon
• Palo Alto Networks
• Cisco Secure
• AWS Security
• Microsoft Azure Security
• Google Cloud Security
• Identity and Access Management (IAM)
• Privileged Access Management (CyberArk, BeyondTrust)
• Okta
• SailPoint
• Zero Trust Architecture
• Security Automation & SOAR
• Incident Response
• Threat Intelligence
• Vulnerability Management
• Penetration Testing
• Governance, Risk & Compliance (GRC)
• NIST CSF
• ISO/IEC 27001
• SOC 2
• PCI DSS
• HIPAA
• FedRAMP
• DevSecOps
• Terraform
• Kubernetes
• Docker
• Python
• PowerShell
• GitHub Actions
• Jenkins

Preferred Soft Skills

• Executive leadership
• Strategic planning
• Risk management
• Decision-making
• Team leadership and mentoring
• Cross-functional collaboration
• Crisis management
• Stakeholder communication
• Budget and vendor management
• Business acumen
• Analytical thinking
• Problem-solving

Benefits

• Competitive executive compensation package with annual performance bonus.
• Medical, dental, and vision insurance.
• Employee stock purchase plan or equity awards (where applicable).
• Flexible remote or hybrid work arrangements.
• Professional development and executive leadership training.
• Certification reimbursement and conference sponsorship.
• Life and disability insurance.
• Career progression opportunities into Vice President of Cyber Security, Chief Information Security Officer (CISO), or Chief Security Officer (CSO).

Job Description

We are seeking an experienced Principal Power BI Engineer to lead the design, architecture, and implementation of enterprise-scale Business Intelligence (BI) solutions. This role is responsible for defining the organization's Power BI strategy, building highly scalable semantic models, and delivering executive dashboards that enable data-driven decision-making across the enterprise.

As a technical leader, you will collaborate with executives, data engineers, analytics teams, cloud architects, and business stakeholders to develop modern analytics solutions using Microsoft Power BI, Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, SQL Server, and OneLake. You will establish BI best practices, optimize performance, and mentor engineering teams while driving innovation in cloud analytics and data visualization.

Key Responsibilities

• Lead the architecture and development of enterprise-scale Power BI solutions.
• Design scalable semantic models, reusable datasets, and reporting frameworks.
• Develop advanced DAX measures, calculated tables, and Power Query (M) transformations.
• Architect end-to-end BI solutions using Microsoft Fabric, Azure Synapse Analytics, and Azure Data Factory.
• Optimize dashboard performance, data models, and report refresh strategies for large datasets.
• Establish enterprise BI governance, security, and data quality standards.
• Implement Row-Level Security (RLS), Object-Level Security (OLS), and workspace governance.
• Build executive dashboards and KPI scorecards for senior leadership.
• Collaborate with Data Engineers to integrate SQL Server, Snowflake, Databricks, Azure SQL, and cloud data platforms.
• Define deployment strategies using Power BI Service, deployment pipelines, and CI/CD.
• Provide technical leadership and mentor BI developers, analysts, and engineers.
• Evaluate and implement new Microsoft Fabric and Power BI capabilities.
• Partner with business leaders to translate strategic goals into analytics solutions.
• Ensure compliance with organizational data governance and regulatory requirements.
• Drive continuous improvement through automation, reusable frameworks, and BI best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, Business Intelligence, or a related field.
• 10+ years of experience in Business Intelligence, Data Analytics, or Data Engineering.
• 7+ years of hands-on experience developing enterprise Power BI solutions.
• Expert-level knowledge of Power BI Desktop, Power BI Service, DAX, and Power Query (M).
• Strong experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, and Azure SQL.
• Advanced SQL development and data modeling expertise.
• Experience with enterprise data warehousing, ETL/ELT processes, and cloud analytics platforms.
• Strong understanding of BI governance, security, and performance optimization.
• Experience leading technical teams and enterprise BI initiatives.
• Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications

• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Microsoft Certified: Azure Data Engineer Associate (DP-203).
• Experience with Microsoft Fabric Analytics Engineer certification (DP-600).
• Experience integrating Power BI with Power Apps and Power Automate.
• Knowledge of Python, Spark, Databricks, and Snowflake.
• Experience with DevOps, Git, Azure DevOps, and CI/CD pipelines.
• Familiarity with AI-powered analytics, Copilot for Power BI, and Generative AI features.

Technical Skills

• Microsoft Power BI
• Microsoft Fabric
• Power BI Service
• Power BI Desktop
• DAX
• Power Query (M)
• SQL Server
• Azure SQL Database
• Azure Synapse Analytics
• Azure Data Factory
• Azure Data Lake Storage
• OneLake
• Databricks
• Snowflake
• SSIS
• SSAS
• SQL
• Python
• Git
• Azure DevOps
• CI/CD Pipelines
• REST APIs
• Power Automate
• Power Apps
• Data Modeling
• ETL / ELT
• Row-Level Security (RLS)
• Object-Level Security (OLS)
• Data Governance

Preferred Soft Skills

• Strategic leadership
• Executive communication
• Solution architecture
• Stakeholder management
• Team mentoring and coaching
• Cross-functional collaboration
• Critical thinking
• Business acumen
• Problem-solving
• Project management
• Decision-making
• Continuous improvement mindset

Benefits

• Competitive base salary with annual performance bonus.
• Medical, dental, and vision insurance.
• Employee stock purchase plan (where applicable).
• Flexible remote or hybrid work options.
• Learning and certification reimbursement.
• Wellness and mental health programs.
• Leadership development opportunities.
• Career advancement into Enterprise Data Architecture or Director of Business Intelligence roles.

Job Description

We are seeking a Product Data Scientist to help drive product strategy through data-driven insights and advanced analytics. In this role, you will partner closely with Product Managers, Software Engineers, UX Researchers, and Business Stakeholders to understand user behavior, measure product performance, and identify opportunities to improve customer engagement, retention, and revenue.

The ideal candidate has strong analytical skills, hands-on experience with statistical modeling and machine learning, and a passion for turning complex datasets into actionable product recommendations. You will work on experimentation, customer segmentation, predictive modeling, and KPI development to influence product decisions across the organization.

Key Responsibilities

• Analyze product usage data to identify customer behavior patterns and business opportunities.
• Design, execute, and evaluate A/B tests and other product experiments.
• Develop dashboards and performance metrics to monitor product health and user engagement.
• Build predictive models for customer retention, churn, conversion, and lifetime value.
• Collaborate with Product Managers to define success metrics and optimize product features.
• Perform exploratory data analysis (EDA) to uncover actionable insights.
• Develop customer segmentation models to improve personalization and targeting.
• Work with Data Engineers to ensure reliable and scalable data pipelines.
• Communicate analytical findings and recommendations to technical and non-technical stakeholders.
• Partner with Engineering teams to deploy and monitor machine learning models in production.
• Identify opportunities to improve product adoption, engagement, and monetization.
• Ensure data quality, governance, and compliance with company policies and privacy regulations.
• Stay current with emerging trends in product analytics, AI, and data science.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
• 3–6+ years of experience in Product Analytics, Data Science, or a similar role.
• Strong proficiency in Python and SQL.
• Experience with statistical analysis, hypothesis testing, and A/B experimentation.
• Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Strong analytical thinking, communication, and problem-solving skills.

Preferred Qualifications

• Experience with product analytics platforms such as Amplitude, Mixpanel, or Google Analytics.
• Knowledge of Big Data technologies such as Spark, Databricks, or Snowflake.
• Familiarity with MLOps and model deployment workflows.
• Experience working in Agile product development environments.
• Understanding of Generative AI and Large Language Model (LLM) applications is a plus.

Technical Skills

• Python
• SQL
• R (Preferred)
• Pandas
• NumPy
• Scikit-learn
• TensorFlow / PyTorch
• Tableau / Power BI / Looker
• Spark
• Snowflake
• Databricks
• AWS / Azure / Google Cloud
• Git
• Jupyter Notebook
• A/B Testing
• Statistical Modeling
• Machine Learning
• Predictive Analytics

Preferred Soft Skills

• Strong business acumen
• Critical thinking and analytical mindset
• Excellent communication and presentation skills
• Cross-functional collaboration
• Stakeholder management
• Attention to detail
• Problem-solving ability
• Time management
• Adaptability and continuous learning

Benefits

• Competitive salary and annual performance bonus
• Medical, dental, and vision insurance
• Flexible work arrangements (Remote/Hybrid)
• Paid time off and company holidays
• Professional development and certification support
• Employee stock purchase or equity programs (where applicable)
• Wellness and mental health programs
• Career growth and leadership opportunities

Job Description

We are seeking a talented and innovative Cloud Application Developer to design, develop, deploy, and maintain scalable cloud-native applications that support enterprise business operations and digital transformation initiatives. In this role, you will collaborate with software engineers, cloud architects, DevOps engineers, product managers, and security teams to build highly available, secure, and resilient applications using modern cloud technologies.

As a Cloud Application Developer, you will develop microservices, APIs, serverless applications, and cloud-based solutions using platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). You will be responsible for designing cloud architectures, integrating cloud services, automating deployments, optimizing application performance, and ensuring security and compliance across cloud environments.

The ideal candidate has strong programming skills, experience with cloud-native development, containerization, CI/CD pipelines, and modern software engineering practices. Experience with distributed systems, Infrastructure as Code (IaC), and cloud security best practices is highly desirable.

Key Responsibilities

Cloud Application Development

• Design, develop, test, and deploy cloud-native applications using AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Build scalable, secure, and highly available web applications and backend services.
• Develop RESTful APIs and microservices to support enterprise applications.
• Create serverless applications using services such as AWS Lambda, Azure Functions, or Google Cloud Functions.
• Implement cloud storage, messaging, and event-driven architectures.

Software Engineering

• Write clean, maintainable, reusable, and well-documented code.
• Develop applications using Java, Python, C#, JavaScript, or Node.js.
• Build frontend integrations where required using React or Angular.
• Design efficient database schemas and optimize application performance.
• Integrate third-party APIs and enterprise systems.

Cloud Infrastructure

• Collaborate with Cloud Architects to implement scalable cloud solutions.
• Deploy applications using Docker containers and Kubernetes.
• Configure cloud networking, storage, compute, and identity services.
• Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or Azure Resource Manager (ARM).
• Support cloud migration and modernization projects.

DevOps & Automation

• Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, or GitLab CI.
• Automate software deployment and infrastructure provisioning.
• Monitor application health, performance, and availability.
• Troubleshoot production issues and optimize cloud resources.
• Participate in release planning and deployment activities.

Security & Compliance

• Implement secure coding standards and cloud security best practices.
• Configure authentication and authorization using OAuth 2.0, OpenID Connect, or Azure AD.
• Protect applications with encryption, secrets management, and identity access controls.
• Ensure applications comply with organizational security and regulatory requirements.
• Participate in vulnerability assessments and remediation activities.

Collaboration & Continuous Improvement

• Collaborate with product managers, QA engineers, DevOps teams, and business stakeholders.
• Participate in Agile/Scrum ceremonies including sprint planning, daily stand-ups, and retrospectives.
• Conduct peer code reviews and contribute to technical design discussions.
• Document application architecture, deployment procedures, and technical specifications.
• Stay current with emerging cloud technologies, frameworks, and industry best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
• 3+ years of experience in software development and cloud application development.
• Strong programming skills in Java, Python, C#, JavaScript, or Node.js.
• Experience building cloud-native applications on AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Knowledge of REST APIs, microservices, and distributed systems.
• Experience with SQL and NoSQL databases.
• Strong understanding of object-oriented programming (OOP) principles.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong written and verbal communication skills.
• Experience working in Agile development environments.

Required Technical Skills

Programming Languages

• Java
• Python
• C#
• JavaScript
• TypeScript
• Node.js

Cloud Platforms

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Cloud Services

• AWS Lambda
• Amazon EC2
• Amazon S3
• Amazon RDS
• Amazon API Gateway
• Azure Functions
• Azure App Service
• Azure Storage
• Azure SQL Database
• Google Cloud Run
• Google Kubernetes Engine (GKE)
• Google Cloud Storage

Web Development

• REST APIs
• GraphQL (Preferred)
• React
• Angular
• HTML5
• CSS3

Databases

• SQL Server
• PostgreSQL
• MySQL
• MongoDB
• Redis

DevOps & Automation

• Docker
• Kubernetes
• Jenkins
• GitHub Actions
• Azure DevOps
• GitLab CI/CD
• Terraform
• AWS CloudFormation
• ARM Templates

Version Control

• Git
• GitHub
• Azure Repos
• Bitbucket

Monitoring & Logging

• Azure Monitor
• AWS CloudWatch
• Grafana
• Prometheus
• Splunk

Preferred Skills

• Experience with event-driven architecture and Apache Kafka.
• Knowledge of serverless computing and event streaming.
• Familiarity with AI service integration (Azure AI, Amazon Bedrock, Vertex AI).
• Experience implementing OAuth 2.0, OpenID Connect, and JWT authentication.
• Understanding of FinOps and cloud cost optimization.
• Experience with Infrastructure as Code (IaC) and cloud automation.
• Knowledge of secure software development lifecycle (SSDLC).

Preferred Certifications

• AWS Certified Developer – Associate
• AWS Certified Solutions Architect – Associate
• Microsoft Certified: Azure Developer Associate (AZ-204)
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Google Professional Cloud Developer
• Certified Kubernetes Application Developer (CKAD)
• HashiCorp Certified: Terraform Associate

Soft Skills

• Strong analytical and problem-solving skills
• Effective communication and collaboration
• Team-oriented mindset
• Time management and prioritization
• Adaptability to new technologies
• Attention to detail
• Customer-focused approach
• Continuous learning attitude

Benefits

• Competitive salary with annual performance bonus
• Medical, dental, and vision insurance
• Paid vacation, holidays, and sick leave
• Flexible remote and hybrid work options
• Employee stock purchase plan (where applicable)
• Professional development and certification reimbursement
• Wellness and employee assistance programs
• Career growth opportunities
• Collaborative and innovative work environment

Job Description

We are seeking an experienced and strategic Governance, Risk, and Compliance (GRC) Program Manager to lead and enhance our enterprise-wide GRC initiatives. This leadership role is responsible for developing, implementing, and managing governance frameworks, enterprise risk management strategies, cybersecurity compliance programs, and regulatory initiatives that support business objectives while reducing organizational risk.

As a GRC Program Manager, you will collaborate with executive leadership, cybersecurity, legal, internal audit, privacy, IT operations, cloud engineering, and business stakeholders to ensure compliance with applicable regulations, industry standards, and corporate policies. You will oversee enterprise risk assessments, regulatory audits, policy management, third-party risk programs, security control implementation, and continuous compliance monitoring.

The ideal candidate possesses deep knowledge of cybersecurity governance, risk management, compliance frameworks, and regulatory requirements while demonstrating strong leadership, communication, and program management skills. Experience leading enterprise GRC programs in highly regulated industries such as finance, healthcare, technology, or government is highly desirable.

Key Responsibilities

Governance & Program Management

• Develop and manage the organization's Governance, Risk, and Compliance (GRC) strategy.
• Lead enterprise-wide GRC initiatives aligned with business objectives.
• Establish governance frameworks, policies, standards, and procedures.
• Drive continuous improvement of governance processes and compliance programs.
• Define GRC program goals, KPIs, and success metrics.
• Report program performance and risk posture to executive leadership and governance committees.

Risk Management

• Lead enterprise risk assessments across business units and IT environments.
• Develop and maintain enterprise risk registers.
• Identify operational, cybersecurity, technology, cloud, and third-party risks.
• Evaluate business impacts and recommend risk mitigation strategies.
• Monitor Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs).
• Coordinate risk treatment and remediation activities.
• Support Enterprise Risk Management (ERM) initiatives.

Compliance Management

• Ensure compliance with applicable regulatory and industry requirements.
• Manage internal and external compliance audits.
• Coordinate evidence collection for regulatory assessments.
• Monitor regulatory changes and communicate compliance impacts.
• Maintain compliance documentation and audit readiness.
• Track remediation plans for audit findings.

Security Governance

• Develop and maintain information security policies and standards.
• Ensure security controls align with organizational objectives.
• Support cybersecurity governance initiatives.
• Oversee security awareness and compliance programs.
• Collaborate with Information Security leadership on strategic initiatives.

Third-Party Risk Management

• Oversee third-party/vendor risk management programs.
• Review vendor security assessments and due diligence reports.
• Evaluate supplier compliance with contractual security requirements.
• Monitor vendor remediation activities.
• Support procurement during vendor onboarding.

Audit & Control Management

• Coordinate internal audits and external regulatory examinations.
• Perform control assessments and maturity reviews.
• Monitor control effectiveness.
• Track corrective action plans.
• Support SOC 2, ISO, PCI, HIPAA, and SOX audit activities.

Leadership & Collaboration

• Lead cross-functional GRC initiatives.
• Mentor GRC analysts, compliance specialists, and junior team members.
• Present risk and compliance updates to executives and board committees.
• Partner with Legal, Privacy, Internal Audit, Finance, HR, and Technology teams.
• Manage relationships with auditors, regulators, and external consultants.

Continuous Improvement

• Identify opportunities to automate GRC processes.
• Improve governance workflows using GRC platforms.
• Implement compliance dashboards and executive reporting.
• Stay informed about emerging cybersecurity threats, regulations, and industry best practices.
• Promote a culture of compliance and risk awareness throughout the organization.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Technology, Information Systems, Computer Science, Business Administration, Risk Management, or a related field.
• Master's degree preferred.
• 7+ years of experience in Governance, Risk, Compliance, Cybersecurity, IT Risk, or Information Security.
• 3+ years of experience managing enterprise GRC programs or leading GRC teams.
• Strong knowledge of enterprise risk management principles.
• Experience managing enterprise compliance initiatives.
• Excellent leadership and stakeholder management skills.
• Strong analytical and problem-solving abilities.
• Outstanding written and verbal communication skills.
• Experience working with executive leadership and board-level reporting.

Required Technical Skills

• Governance, Risk & Compliance (GRC)
• Enterprise Risk Management (ERM)
• IT Risk Management
• Operational Risk
• Cyber Risk Management
• Security Control Frameworks
• Policy Management
• Risk Assessments
• Control Testing
• Audit Management
• Compliance Monitoring
• Vendor Risk Management
• Business Continuity Planning
• Disaster Recovery
• Security Awareness Programs
• Data Governance
• Regulatory Compliance
• KPI & KRI Reporting
• Executive Reporting
• Project & Program Management

Regulatory & Compliance Frameworks

Candidates should have experience with one or more of the following:

• NIST Cybersecurity Framework (CSF)
• NIST Risk Management Framework (RMF)
• ISO/IEC 27001
• ISO/IEC 27002
• SOC 2
• PCI DSS
• HIPAA
• SOX (Sarbanes-Oxley)
• GDPR
• CCPA
• COBIT
• CIS Controls
• FedRAMP (Preferred)
• HITRUST (Preferred)

GRC Tools

Experience with one or more of the following platforms is preferred:

• ServiceNow GRC
• Archer Integrated Risk Management (RSA Archer)
• MetricStream
• OneTrust
• LogicGate
• AuditBoard
• Microsoft Purview
• Microsoft Defender
• Jira
• Confluence
• Power BI
• Microsoft Excel
• Microsoft 365
• Splunk (Preferred)

Cloud Security Knowledge

Experience with cloud governance and compliance in:

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Knowledge of cloud security frameworks including:

• AWS Well-Architected Framework
• Azure Security Benchmark
• CIS Benchmarks
• Cloud Security Alliance (CSA) Cloud Controls Matrix

Preferred Certifications

One or more of the following certifications is highly preferred:

• Certified Information Systems Security Professional (CISSP)
• Certified Information Security Manager (CISM)
• Certified in Risk and Information Systems Control (CRISC)
• Certified Information Systems Auditor (CISA)
• Certified Third-Party Risk Professional (CTPRP)
• ISO/IEC 27001 Lead Implementer or Lead Auditor
• Project Management Professional (PMP)
• Certified Risk Management Professional (PMI-RMP)
• Microsoft Certified: Cybersecurity Architect Expert (SC-100)
• AWS Certified Security – Specialty

Soft Skills

• Leadership and Team Management
• Strategic Planning
• Executive Communication
• Stakeholder Management
• Business Consulting
• Decision-Making
• Risk Analysis
• Conflict Resolution
• Negotiation
• Critical Thinking
• Organizational Skills
• Time Management
• Cross-Functional Collaboration
• Problem Solving

Benefits

• Competitive salary with annual performance bonus
• Medical, dental, and vision insurance
• Paid vacation, holidays, and parental leave
• Flexible remote and hybrid work options
• Professional certification reimbursement
• Learning and development programs
• Employee Assistance Program (EAP)
• Wellness initiatives
• Career advancement opportunities

Job Description

We are seeking an experienced and results-driven Data Science Consultant to join our growing analytics and consulting team. As a Data Science Consultant, you will work closely with clients, business leaders, data engineers, software developers, and machine learning specialists to transform complex business problems into data-driven solutions. You will leverage advanced analytics, machine learning, statistical modeling, and artificial intelligence to help organizations improve operational efficiency, increase revenue, reduce costs, and make strategic business decisions.

In this role, you will consult with stakeholders to understand business objectives, gather requirements, identify opportunities, and design scalable analytical solutions. You will collect, clean, and analyze large datasets, develop predictive models, build machine learning algorithms, and create interactive dashboards that communicate actionable insights. You will also provide recommendations to executives and clients based on analytical findings while ensuring data accuracy, governance, and compliance.

The ideal candidate has a strong foundation in statistics, mathematics, programming, and machine learning, along with excellent communication and consulting skills. Experience with cloud technologies, big data platforms, and AI solutions is highly preferred.

Key Responsibilities

• Partner with clients and internal stakeholders to understand business challenges and define analytical objectives.
• Translate business requirements into scalable data science and machine learning solutions.
• Collect, clean, validate, and preprocess structured and unstructured data from multiple sources.
• Perform exploratory data analysis (EDA) to discover trends, correlations, anomalies, and business opportunities.
• Design, develop, and deploy predictive models, classification models, regression models, clustering algorithms, recommendation systems, and forecasting solutions.
• Build machine learning models using supervised, unsupervised, and reinforcement learning techniques.
• Develop statistical models and perform hypothesis testing to support business decisions.
• Create customer segmentation models and behavioral analytics for marketing and sales optimization.
• Build fraud detection, risk analysis, and anomaly detection models where applicable.
• Design and optimize data pipelines in collaboration with Data Engineering teams.
• Develop ETL processes to prepare high-quality datasets for analysis.
• Build interactive dashboards and executive reports using Power BI, Tableau, or similar visualization tools.
• Perform A/B testing and experimental analysis to evaluate product features and business strategies.
• Work with SQL databases and cloud-based data warehouses to extract and manipulate large datasets.
• Collaborate with AI Engineers and Software Developers to deploy machine learning models into production.
• Utilize cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP) for scalable analytics solutions.
• Monitor model performance, retrain models, and optimize algorithms for improved accuracy.
• Document methodologies, technical processes, and project deliverables.
• Present technical findings and business recommendations to executives, clients, and cross-functional teams.
• Provide technical guidance and mentoring to junior data scientists and analysts.
• Stay current with industry trends, emerging AI technologies, machine learning frameworks, and best practices.
• Ensure compliance with organizational data governance, privacy, and security policies.
• Support multiple client engagements while managing project timelines and deliverables.

Required Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative field.
• Master's degree is preferred.
• 3+ years of professional experience in Data Science, Machine Learning, Business Analytics, or Advanced Analytics.
• Strong knowledge of statistics, probability, linear algebra, and predictive modeling.
• Advanced programming skills in Python and SQL.
• Experience building production-ready machine learning models.
• Strong analytical and problem-solving abilities.
• Excellent verbal and written communication skills.
• Experience working directly with business stakeholders and clients.
• Ability to manage multiple projects in a consulting environment.

Required Technical Skills

• Python
• SQL
• R (Preferred)
• Pandas
• NumPy
• Scikit-learn
• TensorFlow
• PyTorch
• Jupyter Notebook
• Power BI
• Tableau
• Microsoft Excel
• Git
• Docker
• REST APIs
• Machine Learning
• Deep Learning
• Statistical Modeling
• Predictive Analytics
• Data Visualization
• Feature Engineering
• Model Evaluation
• Time Series Forecasting

Preferred Skills

• Experience with Databricks
• Apache Spark
• Snowflake
• Hadoop
• BigQuery
• Redshift
• Azure Synapse
• MLOps
• Kubernetes
• CI/CD Pipelines
• Large Language Models (LLMs)
• Generative AI
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• LangChain
• Vector Databases
• NLP
• Computer Vision

Cloud Platforms

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Soft Skills

• Client Relationship Management
• Business Consulting
• Critical Thinking
• Problem Solving
• Presentation Skills
• Communication Skills
• Project Management
• Team Collaboration
• Stakeholder Management
• Leadership
• Time Management
• Decision Making

Preferred Certifications

• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Machine Learning Engineer
• Databricks Certified Data Scientist Professional
• Microsoft Power BI Data Analyst Associate
• TensorFlow Developer Certificate

Benefits

• Competitive salary with annual performance bonus
• Medical, dental, and vision insurance
• Paid vacation, holidays, and sick leave
• Flexible remote and hybrid work options
• Professional development and certification reimbursement
• Employee assistance program (EAP)
• Wellness and learning programs
• Career growth and leadership opportunities

Job Description

We are seeking a motivated AI Support Specialist to provide technical and operational support for AI-powered applications, machine learning platforms, and Generative AI solutions. The ideal candidate will assist users in resolving AI-related issues, monitor AI system performance, troubleshoot application errors, and collaborate with engineering teams to ensure reliable AI services.

This is an excellent entry-level opportunity for candidates interested in building a career in Artificial Intelligence, cloud technologies, and technical support.

Key Responsibilities

• Provide first-level technical support for AI-powered applications and platforms.
• Troubleshoot AI application issues, user errors, and system performance problems.
• Monitor AI services, APIs, and application health using dashboards and monitoring tools.
• Assist users with AI tools, chatbots, virtual assistants, and Generative AI applications.
• Document support requests, resolutions, and known issues in ticketing systems.
• Escalate complex technical issues to AI Engineers or Machine Learning teams.
• Perform basic testing and validation after software updates and deployments.
• Maintain knowledge base articles, user guides, and technical documentation.
• Collaborate with product, engineering, and customer success teams to improve user experience.
• Support AI model deployment and operational activities under senior team guidance.
• Track service metrics and contribute to continuous process improvements.
• Stay updated on emerging AI technologies, software releases, and best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
• 0–2 years of experience in technical support, IT support, help desk, or AI support (internships or academic projects are acceptable).
• Basic understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.
• Familiarity with Windows, Linux, and cloud-based applications.
• Strong problem-solving and analytical skills.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced, customer-focused environment.

Preferred Qualifications

• Experience with help desk or ticketing tools such as ServiceNow or Jira Service Management.
• Basic knowledge of Python or SQL.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Understanding of REST APIs and AI service integrations.
• Experience supporting chatbot or virtual assistant platforms is a plus.

Technical Skills

• Artificial Intelligence Fundamentals
• Generative AI Basics
• Technical Troubleshooting
• ServiceNow
• Jira Service Management
• Microsoft Azure AI
• AWS AI Services
• Google Vertex AI
• Python (Basic)
• SQL (Basic)
• REST APIs
• Microsoft Office 365
• Windows & Linux
• Ticketing Systems
• Knowledge Base Documentation

Preferred Certifications

• Microsoft Certified: Azure AI Fundamentals (AI-900)
• AWS Certified Cloud Practitioner
• Google Cloud Digital Leader
• CompTIA A+
• CompTIA Network+
• ITIL® 4 Foundation
• Microsoft Certified: Azure Fundamentals (AZ-900)

Preferred Skills

• Customer Support
• Incident Management
• Problem Solving
• Communication Skills
• Documentation
• Team Collaboration
• Time Management
• Analytical Thinking
• Attention to Detail
• Continuous Learning

Benefits

• Competitive salary with performance-based bonuses
• Medical, dental, and vision insurance
• Paid vacation and company holidays
• Remote and hybrid work opportunities
• Professional training and certification reimbursement
• Career growth into AI Engineering, MLOps, or AI Operations roles
• Employee wellness and assistance programs

Job Description

We are seeking a skilled ERP Business Analyst to support the implementation, optimization, and enhancement of Enterprise Resource Planning (ERP) systems across business functions. The ideal candidate will work closely with stakeholders, project managers, and technical teams to analyze business requirements, improve operational processes, and ensure ERP solutions align with organizational goals.

This role requires expertise in business process analysis, ERP systems, data management, and cross-functional collaboration to drive successful digital transformation initiatives.

Key Responsibilities

• Gather, analyze, and document business and functional requirements for ERP projects.
• Collaborate with Finance, Human Resources, Supply Chain, Procurement, Manufacturing, and IT teams to improve business processes.
• Configure and support ERP modules such as Finance, Procurement, Inventory, Manufacturing, Human Capital Management (HCM), and Supply Chain Management (SCM).
• Translate business requirements into functional specifications for technical teams.
• Support ERP implementation, upgrades, integrations, and system enhancements.
• Perform gap analysis and recommend process improvements.
• Coordinate User Acceptance Testing (UAT), system testing, and issue resolution.
• Develop process flow diagrams, business documentation, and standard operating procedures.
• Provide end-user training, knowledge transfer, and post-implementation support.
• Monitor ERP performance and recommend optimization strategies.
• Support data migration, validation, and reporting activities.
• Work with third-party vendors and implementation partners to deliver ERP solutions.
• Ensure compliance with internal controls, security policies, and regulatory requirements.
• Prepare project status reports and communicate progress to stakeholders.

Required Qualifications

• Bachelor's degree in Business Administration, Information Systems, Computer Science, Finance, or a related field.
• 3–7+ years of experience as an ERP Business Analyst, Functional Consultant, or Business Systems Analyst.
• Hands-on experience with ERP platforms such as SAP S/4HANA, Oracle Fusion Cloud ERP, Microsoft Dynamics 365, Workday, Infor, or NetSuite.
• Strong knowledge of business process analysis and requirements gathering.
• Experience with ERP implementation, configuration, and system integration projects.
• Understanding of Finance, Supply Chain, Procurement, Inventory, Manufacturing, or HR business processes.
• Excellent analytical, communication, documentation, and stakeholder management skills.

Preferred Qualifications

• Experience working in Agile or Scrum environments.
• Knowledge of cloud-based ERP solutions and digital transformation initiatives.
• Familiarity with SQL, Power BI, Tableau, or other reporting and analytics tools.
• Experience with API integrations and enterprise application ecosystems.
• Understanding of change management and business process reengineering.

Technical Skills

• SAP S/4HANA
• Oracle Fusion Cloud ERP
• Microsoft Dynamics 365
• Workday ERP
• NetSuite
• Infor CloudSuite
• Business Process Modeling (BPMN)
• SQL
• Power BI
• Tableau
• Microsoft Excel (Advanced)
• Jira
• Azure DevOps
• Visio
• ERP Reporting & Analytics
• Data Migration
• User Acceptance Testing (UAT)
• API & System Integration

Preferred Certifications

• SAP Certified Associate
• Oracle Cloud ERP Certification
• Microsoft Certified: Dynamics 365 Functional Consultant
• NetSuite ERP Consultant Certification
• PMI Professional in Business Analysis (PMI-PBA)
• Certified Business Analysis Professional (CBAP)
• Project Management Professional (PMP)
• Scrum Master Certification (CSM or PSM)

Preferred Skills

• Business Process Improvement
• Requirements Elicitation
• Stakeholder Management
• Functional Documentation
• Process Mapping
• ERP Configuration Support
• Problem-Solving
• Cross-Functional Collaboration
• Risk Assessment
• Change Management
• Training & User Adoption
• Project Coordination

Benefits

• Competitive salary with annual performance bonus
• Medical, dental, and vision insurance
• Paid vacation, holidays, and sick leave
• Flexible remote and hybrid work options
• Professional certification reimbursement
• Learning and career development programs
• Employee wellness and assistance programs
• Tuition reimbursement (where applicable)

Job Description

We are seeking an experienced Cybersecurity Program Manager to lead and oversee enterprise-wide cybersecurity initiatives that strengthen the organization's security posture and support business objectives. The ideal candidate will manage multiple cybersecurity programs, coordinate cross-functional teams, ensure compliance with industry standards, and drive the successful delivery of strategic security projects.

This role requires strong leadership, program management expertise, and a deep understanding of cybersecurity frameworks, risk management, cloud security, and regulatory compliance.

Key Responsibilities

• Lead enterprise cybersecurity programs from planning through execution.
• Develop and manage cybersecurity roadmaps, budgets, timelines, and project milestones.
• Coordinate with Security Operations, Cloud Security, Infrastructure, Risk, Compliance, and Engineering teams.
• Track program progress using KPIs and executive dashboards.
• Manage cybersecurity governance and strategic initiatives.
• Identify program risks and develop mitigation strategies.
• Ensure compliance with frameworks such as NIST CSF, ISO/IEC 27001, SOC 2, CIS Controls, and PCI DSS.
• Support regulatory requirements including GDPR, HIPAA, CCPA, and other applicable standards.
• Oversee third-party security assessments and vendor risk management.
• Lead security awareness and organizational change management initiatives.
• Facilitate executive steering committee meetings and provide regular status updates.
• Collaborate with business stakeholders to align cybersecurity priorities with organizational goals.
• Manage incident readiness, resilience, and continuous improvement initiatives.
• Support audit preparation and remediation efforts.
• Drive adoption of Zero Trust, cloud security, and AI security governance programs.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field.
• 8+ years of experience in cybersecurity, information security, or IT.
• 4+ years of experience managing cybersecurity programs or large-scale security projects.
• Strong knowledge of cybersecurity frameworks including NIST CSF, ISO 27001, CIS Controls, and SOC 2.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Familiarity with Governance, Risk, and Compliance (GRC) processes.
• Experience working with Security Operations Centers (SOC), Incident Response, Identity & Access Management (IAM), and Vulnerability Management teams.
• Strong leadership, communication, stakeholder management, and organizational skills.

Preferred Certifications

• PMP (Project Management Professional)
• CISSP (Certified Information Systems Security Professional)
• CISM (Certified Information Security Manager)
• CRISC (Certified in Risk and Information Systems Control)
• Security+
• AWS Certified Security – Specialty
• Microsoft Certified: Cybersecurity Architect Expert (SC-100)

Technical Skills

• Cybersecurity Program Management
• Risk Management
• Security Governance
• Cloud Security (AWS, Azure, GCP)
• Zero Trust Architecture
• Identity & Access Management (IAM)
• Security Operations (SOC)
• Incident Response
• Vulnerability Management
• SIEM (Microsoft Sentinel, Splunk, QRadar)
• GRC Platforms (ServiceNow GRC, Archer, OneTrust)
• Project Management Tools (Jira, Azure DevOps, Microsoft Project)
• Power BI and executive reporting

Preferred Skills

• Strategic planning and execution
• Budget and resource management
• Vendor and third-party risk management
• Executive presentation and reporting
• Cross-functional leadership
• Business continuity and disaster recovery planning
• Security awareness program management
• AI governance and emerging technology risk management

Benefits

• Competitive salary with annual performance bonus
• Medical, dental, and vision insurance
• Paid time off and company holidays
• Flexible remote/hybrid work options
• Professional development and certification reimbursement
• Employee wellness programs
• Career growth and leadership opportunities