Related skills
azure kubernetes ci/cd rag llm📋 Description
- Own technical strategy across multiple teams and product areas.
- Define reference architectures for AI-native systems and RAG workflows.
- Lead by hands-on engineering with production code contributions.
- Establish AI-native development practices and governance for code.
- Drive cross-team architectural alignment and shared infrastructure.
- Ensure engineering quality, observability, and reliability.
🎯 Requirements
- 10+ years of software engineering with staff-level leadership.
- Proficiency in at least two modern languages and multi-paradigm knowledge.
- Experience designing and shipping distributed systems at scale.
- Hands-on AI-powered features experience (LLMs, RAG, embeddings).
- Strong cloud platform experience (Azure preferred), containers, CI/CD, DevOps.
- Experience defining engineering-wide standards across teams.
- Data systems expertise—relational, non-relational, vector DBs.
- SaaS/B2B product development experience.
🎁 Benefits
- Paid Time Off for rest and recharge.
- Wellness benefits including health incentives.
- Comprehensive health and life insurance.
- Retirement savings plan.
- Equity and long-term incentives.
- Career growth and internal mobility opportunities.
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