SDE III - Engineering Productivity (AI)

📋 Description

• Find the bottlenecks: Instrument how engineering time is actually spent
• Pick the right instrument: Decide per bottleneck whether the answer is AI, automation, conventional
• Apply AI across the lifecycle: AI-assisted development, code review, test generation
• Build engineering agents: Agents for CI diagnosis, production issue investigation, test writing
• Redesign the process: Rework code review, testing, CI, and incident management for AI-first
• Build the platform: AI gateway, agent runtime, workflow orchestration, codebase intelligence

🎯 Requirements

• 6+ years building production software
• Strong Python, Java, Go, or equivalent
• Solid distributed systems, API and microservice, and software architecture grounding
• Hands-on cloud infrastructure and CI/CD experience
• Demonstrated developer tooling and automation work
• Practical experience with LLMs and agentic systems

🎁 Benefits

• Meaningful Equity
• Unlimited Leaves
• Comprehensive Benefits
• Career Trajectory
• Top-tier medical insurance and wellness benefits