At Ender Turing, we are looking for a hybrid L2 Technical Support Engineer who bridges the gap between customer success and core engineering. You won't just be closing tickets; you will be deep-diving into our microservices architecture (EKS), parsing logs to find "needles in haystacks," and fixing small bugs before they ever reach our L3 developers.

We are looking for a "Cyborg": an engineer who is exceptionally efficient at using AI (LLMs) to accelerate debugging, scripting, and SQL optimization, but possesses the deep technical intuition to know exactly when the AI is wrong and how to fix its mistakes.

Qualifications

✅ 3+ years in technical support and/or DevOps with coding skills

✅ SQL Ninja: Complex queries, query optimization, database debugging (OK with GPT)

✅ API Debugging and Scripts writing: Postman, curl, reading logs and traces in your sleep

✅ Docker and Linux Comfort: SSH, grep, tail -f, docker service ls is your natural habitat

✅ Customer Communication: Explain technical issues without condescension

✅ Debug Mastery: Can trace a bug through 5 microservices using only logs

• AI-Augmented Engineering: You proactively use tools like ChatGPT, Claude, or Copilot to solve requests 3x faster than a traditional engineer.
• Critical Validation: You never "blindly" paste AI-generated code. You have the skills to spot hallucinations, security risks, or inefficient logic in AI output before it touches our production environment.
• Log Sanitization: You know how to efficiently feed complex log data into AI to find patterns while ensuring sensitive data is handled securely.

• Advanced Troubleshooting: Solve L2 support requests from internal teams and key customers that require deep technical investigation.
• Bug Lifecycle Management: Identify and document bugs. You are responsible for describing them so clearly that a developer can understand them instantly.
• Small Fixes & Handoffs: When allowed, you will fix small bugs (Python/SQL) yourself. For complex issues, you will package all debugging data (traces, logs, suspected root cause) for a high-efficiency handoff to L3.

• A high-pace environment where technical curiosity is rewarded.
• The chance to work with a modern stack (Docker, EKS, Python, SQL).
• A culture that encourages the use of cutting-edge AI tools to solve engineering challenges.
• Startup drive and demand level