Senior Backend Engineer, Architecture Engineering

GitLab

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$139,200–$235,200 / yr
Posted
37 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $187k
$127k most similar roles pay here $254k

This role pays less than 68% of similar roles. Most pay $177,250–$233,500 — the shaded band above. At the midpoint, this role pays about $187k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About GitLab

GitLab is an all-remote software company that develops an AI-powered DevSecOps platform combining source code management, CI/CD, security scanning, and project planning in a single application.

GitLab currently has 79 open roles on FindRole.

Listed pay typically runs $137,400–$213,600 across 61 roles with salary data.

Most-posted roles

View all roles at GitLab

At a glance

TL;DR · Senior Backend Engineer, Architecture Engineering

Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity joins the Nonlinear Productivity team to identify and remove friction across the software development lifecycle using reliable AI-powered automation. You will design and build agentic systems that follow multi-step workflows, utilize tool use and safety checks, and include evaluation tools to judge output for correctness and cost. The role involves solving problems like long review cycles and manual release steps by building robust automation. You will work across the codebase using Go, Rust, or Python while applying distributed systems knowledge regarding consistency, idempotency, and rate limiting. This position focuses on developing internal solutions that can eventually become customer-facing offerings. Key requirements include experience with large language model-based systems, multi-step orchestration, and managing production constraints across various deployment models including air-gapped and multi-tenant environments.

What you'll do

  • Identify and scope agentic solutions to remove friction across GitLab's software development lifecycle.
  • Design and build reliable AI-powered systems with multi-step workflows, tool usage, and safety checks.
  • Build and maintain evaluation tools to judge agent output on correctness, cost, and constraint compliance.
  • Navigate and modify various parts of the codebase to address specific technical pain points.
  • Apply distributed systems principles to ensure generated code functions reliably under concurrency and at scale.
  • Take ownership of greenfield projects to transform internal fixes into customer-facing products.
  • Collaborate with global teams to share roadmaps, findings, and reusable agent tooling.

What we're looking for

  • Experience building agentic or large language model-based systems with multi-step orchestration, tool use, and recovery patterns in production.
  • Ability to work autonomously in unfamiliar codebases and drive solutions through completion.
  • Strong distributed systems knowledge including coordination, consistency, idempotency, rate limiting, and failure modes.
  • Proficiency in Go, Rust, or Python (in that order of priority) with the ability to read and modify other languages.
  • Experience shipping autonomous agents that complete real tasks from start to finish (preferred).
  • Experience improving build systems, release processes, review workflows, or other parts of the software development lifecycle (preferred).
  • Experience working with globally distributed teams, LLM workload costs, or production constraints across various deployment types (preferred).

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