Systems Analyst

• Support delivery, deployment, and operational readiness of AI enabled solutions
• Translate stakeholder requirements into technical specifications
• Document CI/CD and deployment processes
• Coordinate with engineering, security, and vendor teams to deliver securely on Azure., * Requirement Analysis: Gather and document business and technical requirements; translate into specifications and acceptance criteria.
• Solution Design Support: Contribute to system design and architecture documentation covering scalability, resilience, security, and performance.
• CI/CD Enablement: Document and support CI/CD pipelines using GitHub Actions (or Azure DevOps) - branching strategy, build/test gates, artifact versioning, DEVTESTUAT*PROD promotion, approvals, and rollback.
• Azure & AKS Deployment: Support deployment and configuration on Azure, including AKS, Container Registry, Key Vault, API Management, and managed identities; working knowledge of Helm, manifests, and secrets handling.
• API & MCP Setup: Analyze, document, and coordinate setup of APIs and MCP servers/endpoints - tool definitions, schemas, authentication (OAuth 2.x / OIDC / Entra ID), rate limiting, versioning, and gateway registration.
• DevSecOps & Compliance: Embed security controls into the delivery lifecycle - vulnerability and container image scanning, secrets management, audit logging, and remediation tracking to closure.
• Release Coordination: Maintain release calendar; coordinate change and deployment windows across internal teams and vendors; ensure environment configuration is consistent and reproducible.
• Quality Assurance: Define and execute test and validation plans (functional, integration, regression) and verify results prior to release sign-off.
• Documentation: Produce and maintain system designs, deployment runbooks, operations guides, configuration baselines, and troubleshooting procedures.
• Monitoring & Readiness: Support observability setup (Azure Monitor, Log Analytics, Application Insights) and define alert thresholds and escalation paths.

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; Master’s preferred.
• Experience: Minimum 3 years as a Systems / Technical / DevOps Analyst with hands-on cloud deployment exposure; 1+ year on AI, data platform, or API-driven projects preferred.
• CI/CD & GitHub: Practical experience with GitHub Actions, repositories, pull request workflows, branch protection, and release management (Azure DevOps accepted as equivalent).
• Cloud & Containers: Working familiarity with Azure and containerized deployment on AKS/Kubernetes; Docker and IaC (Terraform, Bicep, ARM) a plus.
• APIs & Integration: Understanding of REST/API design, API gateways, OAuth 2.x / OIDC / SSO patterns; familiarity with MCP or comparable agent/tool integration standards.
• Technical Skills: Python preferred (Java, R, or PowerShell acceptable); comfort with YAML, JSON, Git, kubectl, and Azure CLI. Familiarity with AI/LLM concepts a plus.
• Communication & Teamwork: Strong written and verbal communication; proven ability to work across internal teams and external vendors while managing multiple priorities.

Desired Traits:

• Ownership: Tracks items to closure without prompting; escalates risks early with proposed options.
• Attention to Detail: Rigorous on configuration accuracy, version control, traceability, and documentation quality.
• Adaptability: Effective in an evolving technology environment where standards and tooling continue to mature.