Hybrid Tech Lead

at Hamming AI

• Job title: Tech Lead
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, JavaScript, Kubernetes, Node.js, Python, Terraform, TypeScript
• Location requirements: Hybrid, Austin, United States

About the role

• Tech lead at Hamming AI overseeing backend and frontend systems for voice AI reliability. Mentor engineers while maintaining high availability and scaling system performance.

Responsibilities

• Technical direction across the stack - backend, frontend, and infra. You’ll decide what’s “good enough” today and what deserves to be rebuilt.
• Team leadership: unblock engineers, set clear priorities, run lightweight design reviews, and keep the team aligned without red tape.
• System reliability: make sure our platform stays fast, observable, and stable while traffic grows 100x.
• Hands-on delivery: contribute to key projects weekly — from new product experiments to hardening real-time systems.
• Cross-functional glue: keep product and operations connected so decisions flow and context isn’t lost.
• Write code (TypeScript, Python, or both) alongside your team.
• Review architecture and PRs - guide decisions without micromanaging.
• Help define sprint priorities and keep roadmaps tight and realistic.
• Pair with engineers when things break - not just to fix them, but to make sure they don’t break again.
• Run post-mortems that actually lead to better systems, not longer docs.
• Evaluate new tech (LLMs, infra tools, observability stacks) and decide what’s worth bringing in.

Requirements

• 6 - 10 years leading 3 - 6 engineer pods in high-availability, high-frequency deploy shops.
• Built and operated realtime/distributed systems (workflow engines, WebRTC/telephony, large fan-out queues).
• Strong fundamentals across backend, infra, and architecture, and can also talk product tradeoffs fluently.
• Can move comfortably between TypeScript/Node.js, Python, and cloud infra (AWS, Terraform, Kubernetes).
• Understand how to design LLM-powered systems that are testable, measurable, and resilient.
• Communicate clearly - direct, concise, and respectful. You default to writing things down.
• Care about outcomes more than process.

Benefits

• Outcomes over output: we adjust roadmaps when new data lands.
• Demo early and document decisions so context moves fast.
• Own incidents: lead the investigation, write crisp notes, land durable fixes.
• Direct, candid, respectful communication keeps remote teammates in lockstep with Austin HQ.