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Senior Backend Engineer, Platform Readiness

Join GitLab as a Senior Backend Engineer to enhance platform readiness and automate evaluation processes in a fully remote environment.

Location
Remote, Canada; Remote, United States
Compensation
Not disclosed
Level
senior
Type
full time · Remote

Posted by employer 3 months ago

First seen on Joblaze 3 months ago

Last verified on the company career page 1 week ago

Skills & Technologies

AI in the day-to-day

All team members are expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.

Requirements

Experience
5+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

Equity Compensation & Employee Stock Purchase Plan Flexible Paid Time Off Growth and Development Fund Parental Leave

Joblaze summary

In the role of Senior Backend Engineer on GitLab's Platform Readiness team, the individual will focus on automating platform readiness assessments to ensure features are deployed successfully across various environments. Proficiency in TypeScript, Python, or Golang is essential, along with experience in developer-facing tooling and structured content systems. This position is ideal for seasoned engineers with a background in platform engineering or developer experience, who are comfortable working in cross-functional teams. The team is newly established, emphasizing innovation and collaboration to enhance GitLab's development lifecycle.

Joblaze insights

  • Listed about 3 months ago — first seen on Joblaze August 4, 2026. Last confirmed on GitLab's careers page October 26, 2026.
  • Python appears in 31.1% of 1265 comparable senior backend roles; Node appears in 0.1% of 1265 comparable senior backend roles.

Quick facts

Is the Senior Backend Engineer, Platform Readiness role remote?
Yes — GitLab lists this as a fully remote position.
How much experience is required?
At least 5 years of relevant experience for this Senior Backend Engineer, Platform Readiness role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Golang, Node, PostgreSQL, Python, Ruby, TypeScript.
What seniority level is this role?
GitLab targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Backend Engineer, Platform Readiness role at GitLab.

From the original posting

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

GitLab features must ship successfully across four distinct deployment platforms—Self-Managed, Dedicated, Dedicated for Government, and GitLab.com. Today, developers routinely discover platform compatibility issues late in development, triggering costly rework, delays, and emergency escalations. The Platform Readiness team is building an internal developer tooling capability that embeds platform readiness intelligence directly into GitLab's software development lifecycle to solve this problem.

As a Senior Backend Engineer on the newly established Platform Readiness team, you'll architect and evolve the systems that enable features to ship successfully across all platforms by automating the evaluation of platform readiness requirements and surfacing risks early. You'll be a technical anchor for the team, driving the evolution of platform readiness from manual, ad-hoc assessments toward intelligent, agentic automation. Your work will directly impact GitLab's ability to ship features faster while dramatically reducing the risk of platform-readiness gaps and the operational burden of cross-platform validation.

You'll receive onboarding and technical guidance from other engineers and team leadership as you establish the technical direction for the Platform Readiness team.

What you'll do

  • Contribute to the Platform Readiness team's agentic workflows on the Duo Agent Platform: design, implement, and evolve the Core Agentic Workflow (currently published to the AI Catalog as a DAP flow) and the Requirements Agent, enabling automated evaluation of platform readiness assessments against platform requirements
  • Evolve the platform requirements knowledge base: contribute to schema design, validation tooling, and CI systems that power the agentic workflow; ensure the schema captures the full scope of platform readiness concerns across all four platforms and domains
  • Build integration surfaces that enable feature teams to engage the Platform Readiness team where they already work: issues, merge requests, design documents, and CI/CD pipelines
  • Partner with platform teams (Infrastructure, Security, Data) to translate their expertise into structured platform requirements, domain skills, and validation logic without requiring specific domain knowledge
  • Contribute to the quality control feedback loop: design systems that surface assessment errors, missed gaps, and content drift back to the governance loop for continuous improvement; measure and improve assessment accuracy and guidance relevance
  • Mentor other engineers on the team in agentic-workflow standards, prompt discipline, evaluation methodology, and the principles of human-AI collaboration in platform readiness
  • Contribute to technical documentation and architectural decision records that document the Platform Readiness team's technical evolution and rationale for key design choices

What you'll bring

Required Experience & Skills

  • 5+ years of software engineering experience with at least 2+ years in backend, platform, or developer-facing tooling
  • Strong proficiency in TypeScript/Node, Python, or Golang (Ruby a plus)
  • Experience shipping developer-facing tooling where the primary user is another engineer
  • Understanding of GitLab-style development workflows (issues, epics, merge requests, CI/CD, code review) as first-class artifacts that automation can read and reason about
  • Ability to work in cross-functional environments across multiple platform teams
  • Experience with structured content systems, schemas, or validation tooling

Highly Valued Experience

  • Experience with AI/agentic systems (DAP, ADK, LangGraph, or similar) OR demonstrated ability to reason rigorously about the boundary between what AI should decide and what humans must own
  • Experience integrating with LLM APIs and reasoning about cost, latency, evaluation, and failure modes
  • Background in developer experience or platform engineering
  • Experience with governance patterns for shared standards and cross-org decision-making
  • Open source contribution history in platform, developer experience, or AI infrastructure
  • PostgreSQL or other relational database experience at scale

What Makes You Stand Out (Strong Plus)

  • You've shipped agentic workflows in production and dealt with the operational complexities of AI-driven automation
  • You have experience designing schema-driven content systems with non-engineer authors and evolving them as requirements change
  • You've built developer platform teams at scale and understand the dynamics of enabling other engineers
  • You have observability and monitoring experience for AI systems, including evaluation metrics, cost tracking, and failure analysis
  • You can explain complex concepts (agentic workflows, platform readiness, governance) clearly to platform teams, feature teams, product managers, and executives

About the team

The Platform Readiness team is part of GitLab Developer Experience, building internal developer tooling capability for platform readiness across GitLab's four deployment targets: Self-Managed, Dedicated, Dedicated for Government, and GitLab.com. We partner with platform teams, feature teams, and product management to ensure every feature is evaluated against platform readiness requirements before it ships.

Current challenges we're tackling:

  • Moving from manual coordination to embedded automation: Transitioning from manual, ad-hoc platform readiness assessments to automated, agentic evaluation while maintaining human oversight and trust
  • Building a structured, machine-readable requirements body: Evolving the platform requirements schema to capture the full scope of platform readiness concerns across all domains and platforms
  • Making platform readiness native to the tools feature teams already use: Enabling platform teams to contribute domain expertise and validation logic without requiring deep Platform Readiness infrastructure knowledge
  • Building the measurement systems to know we're working: Creating observability and evaluation frameworks that give us confidence in agentic-workflow decisions and surface failures early

Team structure:

You'll be joining a newly established Platform Readiness team that is building the capability to embed platform readiness intelligence into the development lifecycle. As a Senior engineer, you'll work closely with team leadership to define technical direction while mentoring other engineers on the team. You'll receive onboarding and technical guidance from other engineers and team leadership on the Platform Readiness team's architecture and agentic-workflow patterns.

How GitLab Supports Full-Time Employees

Standard company text repeated across GitLab's postings is omitted here.

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