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Tech Stack
Tools & technologiesAzureCloud.NETSQLTerraform
About the role
Key responsibilities & impact- Design, build, test, and operate enterprise‑grade software using AI‑first engineering practices.
- Use agentic workflows to accelerate implementation, refactoring, testing, documentation, and operational tasks across the software development lifecycle.
- Translate business and product requirements into clear, machine‑readable implementation specifications.
- Define behavioral contracts and acceptance criteria using specification‑driven, BDD‑ and TDD‑aligned practices, enabling AI‑assisted generation and validation of production‑ready systems.
- Embed quality into delivery through continuous, AI‑assisted validation rather than manual or phase‑based QA.
- Implement automated testing approaches such as contract testing, regression analysis, and synthetic test generation, ensuring strong traceability between specifications, code, and tests.
- Build scalable, cloud‑native solutions within the Microsoft ecosystem.
- Contribute reusable engineering patterns, templates, and guardrails, and help design secure, observable, and production‑ready systems using modern cloud and infrastructure‑as‑code practices.
- Work closely with product managers, architects, and fellow engineers to refine specifications into deliverable outcomes.
- Support rapid experimentation and iterative delivery while ensuring alignment with business goals, governance requirements, and measurable results.
- Take end‑to‑end responsibility for outcomes together with the team, focusing on delivery quality, reliability, and long‑term maintainability while creating leverage for the wider engineering organization.
Requirements
What you’ll need- Strong experience in modern software engineering and cloud‑native systems.
- Advanced proficiency with .NET / C#, APIs, and distributed or event‑driven architectures.
- Experience building and operating enterprise‑grade, production systems on Azure.
- Hands‑on experience using AI‑assisted development tools such as GitHub Copilot, Claude, or similar coding agents.
- Experience designing, building, or orchestrating AI agents and agentic workflows.
- Solid understanding of prompt and context engineering, RAG patterns, tool‑calling agents, and multi‑agent systems.
- Experience with specification‑driven development practices, including BDD, TDD, executable specifications, and automated testing frameworks.
- Ability to define clear, deterministic acceptance criteria for complex and AI‑assisted systems.
- Experience designing or contributing to AI‑assisted or automation‑first QA approaches.
- Hands‑on experience with Azure and related services.
- Familiarity with technologies such as Azure Functions, Azure SQL, Microsoft Fabric, Azure OpenAI, GitHub Actions or Azure DevOps, Terraform, Copilot Studio, or Microsoft AI Foundry.
- Ability to apply Microsoft ecosystem tools in a production‑grade, governed environment.
- Experience with infrastructure‑as‑code, CI/CD pipelines, and automated deployment strategies.
- Understanding of observability, security engineering, and cloud governance principles in modern software delivery.
Benefits
Comp & perks- International team of top performers
- Inclusive and dynamic culture (virtual and in-person)
- Opportunity to contribute to our success and growth globally
- Flexible work/life balance
- Competitive compensation and benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
.NETC#APIsdistributed architecturesevent-driven architecturesAI-assisted developmentautomated testinginfrastructure-as-codeCI/CD pipelinescloud-native systems
Soft Skills
collaborationcommunicationproblem-solvingresponsibilityadaptabilityattention to detailquality focusiterative deliveryalignment with business goalsgovernance awareness