Senior Backend Engineer, Platform Readiness

GitLab

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Posted
39 days ago
Freshness
Confirmed live yesterday

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Similar $186k
$128k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $151,000–$222,000.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Senior Backend Engineer, Platform Readiness

As a Senior Backend Engineer on the Platform Readiness team, you will architect and evolve systems to ensure features ship successfully across four distinct deployment platforms. You will build internal developer tooling by transitioning manual, ad-hoc assessments into intelligent, agentic automation within the software development lifecycle. Your daily work involves developing core agentic workflows on the Duo Agent Platform, evolving platform requirements knowledge bases through schema design and validation tools, and building integration surfaces for issues, merge requests, and CI/CD pipelines. You will utilize TypeScript, Node, Python, or Golang to solve the problem of late-stage discovery of platform compatibility issues. The role requires expertise in developer-facing tooling, structured content systems, and LLM API integration. You will also mentor team members on prompt discipline and human-AI collaboration while ensuring high accuracy in automated readiness evaluations.

What you'll do

  • Design and implement agentic workflows to automate the evaluation of platform readiness requirements.
  • Evolve the platform requirements knowledge base by designing schemas, validation tooling, and CI systems.
  • Build integration surfaces in issues, merge requests, and pipelines to help feature teams engage with platform tools.
  • Translate infrastructure, security, and data expertise into structured requirements and automated validation logic.
  • Develop quality control feedback loops to identify assessment errors and improve the accuracy of AI-driven workflows.
  • Mentor other engineers on agentic workflow standards, prompt discipline, and human-AI collaboration principles.
  • Create technical documentation and architectural decision records to guide the team's technical evolution.

What we're looking for

  • 5+ years of software engineering experience with at least 2+ years in backend, platform, or developer-facing tooling.
  • Proficiency in TypeScript/Node, Python, or Golang (Ruby preferred).
  • Experience shipping developer-facing tooling where the primary user is another engineer.
  • Understanding of GitLab-style development workflows including issues, epics, merge requests, CI/CD, and code review.
  • Experience with structured content systems, schemas, or validation tooling.
  • Ability to work in cross-functional environments across multiple platform teams.
  • Experience with AI/agentic systems (DAP, ADK, LangGraph, or similar) or integrating with LLM APIs (preferred).
  • Background in developer experience, platform engineering, or governance patterns for shared standards (preferred).

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