Member of Technical Staff (MTS) –Senior Core Full-Stack / Backend

Fi (epiFi)

United States

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Tetriz is seeking an experienced backend engineer to design, build, and optimize high-performance services for a data-heavy AI platform. You will contribute to Go-based stacks, scalable architectures, and production-grade AI agent loops that operate reliably under real-world loads.

You will collaborate across teams to ensure memory-efficient, high-throughput systems, and you will own critical backend components from design through deployment, with a strong focus on performance and reliability.

Qualifications

  • 6-8 years of intensive backend or full-stack engineering experience.
  • Experience in high-velocity tech startups with execution demands.
  • Strong fundamentals in memory management, concurrency, and scalable systems.

Responsibilities

  • Build the stack: design and optimize core services and transaction flows.
  • Develop production-grade AI agents and reliable loops with guards and caching.
  • Diagnose and resolve backend bottlenecks and high-concurrency latency spikes.

Tools

Redis
SQL databases
NoSQL databases
Go (Golang)

Job description

About Us

Tetriz is an AI Engineering Intelligence platform that helps engineering organizations become AI-native, faster. We measure how AI coding tools like Cursor, Claude Code, and GitHub Copilot are actually used, improve engineer effectiveness through prompt and workflow coaching, and help engineering leaders demonstrate AI ROI with board-ready, defensible insights.

The Role & Technical Depth

We are shifting past static components into high-concurrency, data-heavy production web flows and fully autonomous AI agent systems. We need a stellar engineer who can write high-performance backends and wrap deterministic, bulletproof software around non-deterministic AI outputs.

  • Build the Stack: Design, develop, and optimize core services, heavy web architectures, and transaction flows for our platform.
  • Production-Grade AI Agents: Take AI loops out of the "toy project" phase and build the software loops, validation guardrails, and caching mechanisms required to run them reliably at scale.
  • Performance Engineering: Diagnose and resolve complex backend bottlenecks, database deadlocks, and high-concurrency latency spikes.
  • Our Expected Stack: Go (Golang) or high-performance backend equivalents, relational/non-relational databases, Redis cache/queuing systems, and modern, highly optimized web engineering frameworks.
Who You Are

Experience: 6-8 years of intensive full-stack or backend engineering experience.

Startup DNA: Proven track record in high-velocity tech startups with heavy execution demands. You excel in ambiguous environments where the destination is clear but the map is yet to be drawn.

Strong Fundamentals: You know how to build software that scales. You understand memory management, concurrency primitives, asynchronous task processing, and how web protocols actually break under load.

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