Description

The project is building the reliability and AI operations foundation for its next chapter—an AI-first intelligence platform that runs the most demanding semiconductor intelligence workflows in the world. The SRE team operates as a technical leader within our engineering organization, responsible for defining reliability patterns for AI agent pipelines, architecting observability, and building an Internal Developer Platform (IDP). We provide a fast-scaling environment where reliability is prioritized from day one, offering the opportunity to apply deep SRE expertise to cutting-edge AI workloads and agentic systems.

Requirements

Candidates evaluated for this role must demonstrate independent execution and architectural ownership across both cloud infrastructure and software development domains. Candidate is expected to: Drive Technical Ownership: Autonomously design, implement, and maintain CI/CD systems, IaC configurations, and Python microservices without requiring step-by-step guidance. Lead Quality & Standards:



Enforce software engineering best practices across the team through peer code reviews, component testing standards, and pipeline security governance. Interface with Product: Collaborate directly with Product Development to translate complex product goals into technical deliverables, story breakdowns, and reliable time estimates. Core Technical & Educational PrerequisitesEducation: Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline (or equivalent practical industry experience). Experience: Minimum of 5+ years in Site Reliability Engineering, DevOps, or Software Engineering roles with demonstrated multi-domain experience.

Job responsibilities

The Hybrid DevOps and Python Developer plays a pivotal role in bridging cloud infrastructure architecture with active software engineering. Spending approximately 35% of their time on DevOps and pipeline architecture, the engineer mainta

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