Technical Support Engineer (L2, Debug)

The Role

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.

✅ Your Core Requirements

• Experience: 3+ years in Technical Support, DevOps, or Application Support.
• Infrastructure Habitat: You are comfortable in a Linux/Docker environment. Using SSH, grep, tail -f, and docker service ls is second nature to you.
• Cloud & Orchestration: Familiarity with EKS (AWS Kubernetes) and how to navigate containerized services.
• SQL Ninja: Ability to write complex queries and optimize them. (We are fine with you using GPT for this, provided you can manually debug execution plans and ensure query safety).
• API & Scripting: Expert at Postman/cURL for API debugging and Mid-level Python for script writing and automation.
• The «Debug Master»: You can trace a single failed request through 5 different microservices using only logs and traces.

🤖 The «Cyborg» Skillset

• 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.

🚀 Key Responsibilities

• 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.
• Tooling: Write and maintain Python scripts to automate log parsing and repetitive support tasks.

What We Offer

• 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.