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The ECS (Experimentation and Configuration Service) team is a globally distributed group responsible for building the platform that powers safe, scalable, and resilient configuration management for Microsoft services. Our platform enables continuous configuration delivery, feature experimentation, and controlled rollout across thousands of services, spanning tens of billions of transactions and serving hundreds of millions of users worldwide. As Microsoft accelerates agentic workloads — including Copilot and agentic experiences — the ECS team is evolving its architecture to become the first agentic-native Continuous Configuration system for Microsoft. This is a high-impact engineering team where reliability, intelligence, and innovation are core design principles.
Job Responsibility:
Agentic Development & Engineering: Adopt and advance agentic development workflows — using AI coding agents, prompt-driven design, and human-in-the-loop automation as core parts of the daily engineering process. Build features and tooling that leverage agent capabilities (e.g., SKILLs, MCP interfaces) to accelerate development velocity and operational intelligence
Intelligent Automation & Operational Excellence: Design actionable troubleshooting guides, decision trees, and automation playbooks. Develop self-healing and self-diagnosing capabilities that reduce manual toil and improve system resilience at scale
Platform Design & Implementation: Contribute to the architecture of a mega-scale configuration platform — designing distributed, highly available, and resilient systems. Iterate rapidly through prototyping, hypothesis testing, and continuous refinement
Collaboration & Technical Leadership: Partner with product managers, designers, and engineers across organizational boundaries to define requirements and ship end-to-end solutions. Drive technical excellence through architecture discussions, code reviews, and mentoring
Telemetry, Observability & Reliability: Instrument systems for deep observability — tracking performance, reliability, and usage patterns. Proactively analyze production signals to prevent availability risks before they become incidents
Customer Focus: Translate customer pain points into technical solutions. Champion user experience and operational simplicity in every design decision
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Familiarity with agentic workflows and AI-assisted development practices (e.g., AI coding agents, prompt-driven tooling, or similar)
Experience with large-scale cloud or distributed systems
Proficiency in one or more of: C#, Java, Python, or JavaScript etc.
Familiarity with CI/CD pipelines, agile methodologies, and modern development practices
Nice to have:
Master's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
1+ years of industry experience in service development, successfully shipping services through multiple releases
Solid understanding of distributed systems and agent-driven decision systems
Hands-on experience with agentic frameworks, AI-assisted development tools (e.g., Copilot, coding agents), or prompt engineering
Real-world experience developing large-scale online services with robust performance, resiliency, telemetry, and security
Passion for quality and proven record of delivering excellent results under challenging schedules
Excellent communication and collaboration skills, with a track record of working across organizational boundaries