• 10+ years in software engineering roles (tech lead/Architect/DevEx/AI+MLOps), including hands-on delivery of web and API solutions.
• Strong experience in enabling teams with AI tooling in the SDLC (or demonstrably equivalent recent depth), including at-scale pilots or org-wide rollouts.
• Experience designing CI/CD pipelines and working with GitHub Actions and/or Azure DevOps (multi-stage, gated releases, environment approvals).
• Demonstrated success introducing new engineering practices/tools across multiple teams, with measurable outcomes (e.g., 40-50% development productivity, +15–25% coverage, reduced code review time).
Tooling familiarity (preferred stack)
• IDEs and assistants: VS Code, GitHub Copilot, GitHub Models, Major model provider ecosystems (Azure OpenAI, Anthropic, Google models) and plugin/extension ecosystems.
• Repos and CI/CD: GitHub (Actions, Advanced Security), Azure DevOps (Repos, Pipelines, Boards).
• UI/UX: Figma (design systems, tokens, plugins), Storybook, design-to-code tools.
• APIs: OpenAPI/Swagger, Spectral, Stoplight/SwaggerHub, Postman, API Management.
• Testing: Jest, React Testing Library, Cypress/Playwright, Pact (contract testing).
• Platform/IaC: Azure (AKS/App Services, APIM, Key Vault, Monitor/App Insights), Terraform/Bicep, Docker/Kubernetes.
• Observability/Sec: App Insights/Log Analytics.
Core technical competencies
• SDLC mastery (hands-on):
• End-to-end experience in modern web and API delivery (React/TypeScript, Node/Java/.NET/Python); strong understanding of product backlogs, branching, code review, testing (unit/integration/e2e), and release management.
• Proven ability to map and optimize processes: UX handoff, API contract-first development, code review workflows, and test automation.
• GenAI for software engineering (practical, production-credible):
• Daily-driver experience with code-generation assistants (Copilot, GitHub Models, Azure OpenAI/ChatGPT) for scaffolding, refactoring, documentation, tests, and API stubs.
• Prompt engineering patterns for code, tests, and documentation; creation of reusable prompt templates and guardrails for consistent results.
• Experience piloting and operationalizing AI code-review bots beyond Copilot suggestions (e.g., custom rules, repo-specific patterns, refactor recommendations).
• Exposure to LLM-backed design-to-code and API-contract generation; ability to evaluate tools and fill gaps with scripts or lightweight models.
• Solid understanding of cloud-native stacks (Azure preferred): App Services/AKS, API Management, Storage, Key Vault, VNETs, Private Link, App Insights/Log Analytics.
Soft skills
• Stakeholder Management and Influence:
• Engaging product owners, dev leads and team, QA, security/architecture; negotiating trade-offs; aligning on outcomes.
• Change Management and Enablement:
Experience: 8-10 Years .
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