Senior Software Engineer

Requirements

• Bachelor's Degree in Computer Science or a related technical field AND technical engineering experience with coding in languages including, but not limited to C# (preferably), C++, Java.
• Azure Expertise: Solid understanding of Azure cloud infrastructure, distributed systems, and deployment models.
• CI/CD: Experience with DevOps practices, CI/CD pipelines, and automation frameworks.

Nice to Haves

• Master’s degree in Computer Science or a related technical field, and strong technical engineering experience coding in languages such as C# (preferably), C++, and Java.
• Azure Expertise: Advanced expertise in Azure cloud services and architectural patterns across compute, networking, storage, databases, and security.
• Security Mindset: Security-by-design mindset, including threat modeling, least-privilege access, secure coding practices, secrets management, and dependency hygiene; familiarity with SFI, Shift Left security, and compliance workflows in regulated environments such as ITAR and GCC/GCCH/DoD.
• Hands-on with observability: Telemetry design, tracing, metrics/SLOs, and log pipelines; using tools such as Kusto (KQL) to analyze reliability and performance.
• Production Operations: Experience running services in production, including on-call rotations, incident response, RCA, and corrective and preventive actions; driving operational excellence.
• CI/CD: Solid skills in CI/CD, automated quality gates, secure supply chain practices, blue/green and canary deployments, and infrastructure as code.
• Containers and Orchestration: Practical knowledge of containerization and orchestration, including networking, ingress, and workload identity.
• Architecture and APIs: Experience designing and reviewing service architecture and APIs, documenting trade-offs, and leading design reviews.
• AI Tooling: Proficiency with AI and Microsoft tooling to accelerate engineering for code, tests, and documentation.
• Performance Engineering: Experience with capacity planning, load testing, cache design, and latency optimization.

What You'll Be Doing

• Design – Propose architecture that is scalable, reliable, follows a security-first strategy, and leverages AI-driven solutions.
• Compliance Reviews – Ensure the architecture aligns with Microsoft Security, Privacy, and Responsible AI principles. Lead design reviews with the relevant compliance teams, participate in their assessments, and adjust the architecture based on the outcomes.
• Implementation – Implement software according to the approved design while keeping reliability, scalability, and security as core priorities.
• Deployment Pipelines – Design and implement deployment pipelines that support secure and reliable delivery.
• On-Call – Participate in on-call rotations.

Perks and Benefits

• Position open for a minimum of 5 days with ongoing applications
• Microsoft is an equal opportunity employer with a strong commitment to diversity and inclusion