Software Engineer Ii- (gcc‑high/dod)- Ctj- Secret

Microsoft Microsoft · Big Tech · Washington, DC +2 · Software Engineering

Backend Software Engineer II for Microsoft Viva Insights (Copilot Analytics), which empowers organizations by providing AI-powered insights to understand and accelerate Copilot and Agent adoption. The role involves designing, implementing, and operating large-scale distributed backend systems using generative AI and ML techniques, with a focus on government cloud environments (GCC-High/DoD). Responsibilities include building and managing Azure infrastructure, collaborating across disciplines, and ensuring service reliability through strong engineering practices and observability.

What you'd actually do

  1. Design, implement, test, deploy, and operate large‑scale, distributed backend systems that power AI‑driven insights and analytics for Microsoft 365 Copilot and Viva Insights.
  2. Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation.
  3. Act as an embedded engineer for government cloud environments (GCC‑High / DoD), executing onboarding, deployments, troubleshooting, and operational activities with the same ownership and rigor as Core Services full‑time engineers.
  4. Build, manage, and maintain Azure infrastructure across environments, including compute, networking, storage, identity, certificates, and service dependencies, while adapting engineering practices to security‑ and compliance‑constrained environments.
  5. Collaborate across disciplines (product, platform, infrastructure, security, monitoring, compliance) to define technical requirements, design robust APIs, and unblock cross‑service dependencies—particularly in government cloud scenarios.

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • 3+ years of hands-on software design and coding experience
  • Experience applying AI/ML techniques or working with generative AI systems in production environments.
  • Familiarity with modern version control systems like Git and agile development methodologies.
  • Hands‑on experience with Azure cloud services, including compute, networking, storage, identity, and resource governance.
  • Experience designing and maintaining infrastructure‑as‑code (e.g., ARM/Bicep or equivalent) and CI/CD pipelines, including YAML‑based build and release definitions, deployment automation, and troubleshooting deployment failures.
  • Experience supporting live‑site operations, including incident triage, root cause analysis, and driving issues to resolution.
  • Active U.S. Government Secret Security Clearance
  • U.S. citizenship

Nice to have

  • mentoring peers
  • sharing knowledge
  • fostering an inclusive, growth-oriented environment
  • Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development.

What the JD emphasized

  • government cloud environments (GCC‑High / DoD)
  • security‑ and compliance‑constrained environments
  • CJIS Security Screening
  • DoD IT‑2 suitability

Other signals

  • AI-powered work
  • Copilot and Agents
  • generative AI
  • large-scale data systems
  • AI transformation