Staff Backend Engineer, Architecture Engineering

GitLab

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$152,800–$259,200 / yr
Posted
37 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $206k
$140k most similar roles pay here $272k

This role pays less than 55% of similar roles. Most pay $187,425–$238,250 — the shaded band above. At the midpoint, this role pays about $206k versus about $213k 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 · Staff Backend Engineer, Architecture Engineering

Staff Backend Engineer, Architecture Engineering: Nonlinear Productivity serves as a technical anchor for GitLab's Nonlinear Productivity team, a strategic incubation group focused on building agentic systems to automate software development life cycle tasks. You will define technical direction for agentic workflows, identify and resolve friction points in the SDLC, and manage greenfield projects from discovery through deployment. The role requires expertise in building reliable large language model based systems involving multi-step orchestration, tool use, and guardrails. Candidates must possess strong distributed systems judgment regarding concurrency, consistency, and idempotency while demonstrating proficiency in Go, Rust, or Python. You will mentor engineers on agent engineering practices, collaborate with international teams to align roadmaps, and serve as a bar raiser for hiring. The work involves solving complex problems like automating code reviews and release steps using intelligent, autonomous agents.

What you'll do

  • Set technical direction for agentic systems and determine where automated agents should replace human workflows.
  • Identify and prioritize friction points in the software development lifecycle to develop and ship automated solutions.
  • Work across any part of the codebase to solve problems as a generalist engineer.
  • Apply distributed systems judgment to ensure generated code functions correctly under concurrency and at scale.
  • Mentor mid-level and senior engineers on agent engineering practices and distributed systems principles.
  • Represent the team's technical progress to stakeholders within the Chief Technology Officer’s organization.
  • Serve as a bar raiser for hiring by leading technical leadership interviews for other staff-level candidates.
  • Build and own the greenfield technical foundation for new AI-driven products from inception.

What we're looking for

  • Experience building reliable agentic or large language model (LLM)-based systems including multi-step orchestration and guardrails.
  • Ability to work autonomously in unfamiliar codebases to drive solutions from discovery through completion.
  • Strong distributed systems and computer science fundamentals, including consistency, idempotency, and failure modes.
  • Proficiency in Go, Rust, or Python with the ability to read and modify code in the others.
  • Track record of delivering results from unclear requirements by decomposing complex problems into shippable steps.
  • Experience designing evaluation frameworks for systems where "looks plausible" and "is actually correct" are different questions.
  • History of unblocking teammates through design reviews, technical writing, or mentoring.
  • Ability to serve as a bar raiser for hiring and lead technical leadership rounds for other candidates.

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