[All remote jobs](https://jobicy.com/jobs.md)[![GitLab logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2020/12/WRILS-201207055737-109952.jpg)](https://jobicy.com/company/gitlab.md)[GitLab](https://jobicy.com/company/gitlab.md) # Senior Backend Engineer, Trusted Agentic Development Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/gitlab.md)ShareRemote from[Poland](https://jobicy.com/job-region/poland.md)SalaryPLN 272k–408k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished1 Nov 2026Apply before1 Dec 2026Listing views43Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. GitLab is seeking a senior backend engineer to define and build a trusted validation platform for AI-agent-generated software. The role focuses on closing the gap between passing tests and software that actually works, including rapid feedback loops that help agents self-correct. The engineer will prototype systems across Rust, Ruby, and Go, with distributed services designed for Kubernetes. Success requires strong hands-on experience with AI coding agents, technical leadership through working code, and effective asynchronous collaboration. This is a software engineering role rather than a QA or test-automation position. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a high-ambiguity senior engineering role that requires creating a technical thesis and proving it through production-oriented prototypes. It combines AI-agent evaluation, language-aware tooling, distributed systems, adoption measurement, and cross-team technical influence. ## Salary analysis Estimated compensation compared with the broader PLN market for similar roles. Estimated job median (per year)Market ratePLN340,000PLN market range (per year)PLN280k–PLN430k0PLN473.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base range of 272,000–408,000 PLN. The posting does not explicitly state a cadence, so yearly pay is inferred from the senior full-time engineering role and the scale of the PLN range. A plausible estimated Polish market range for a senior backend engineer with this specialized AI and platform scope is 280,000–430,000 PLN per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Backend Engineering](https://jobicy.com/jobs?search_keywords=Backend%20Engineering.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Artificial Intelligence Agents](https://jobicy.com/jobs?search_keywords=Artificial%20Intelligence%20Agents.md)[Software Validation](https://jobicy.com/jobs?search_keywords=Software%20Validation.md)[Rust](https://jobicy.com/jobs?search_keywords=Rust.md)[Ruby](https://jobicy.com/jobs?search_keywords=Ruby.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Platform Engineering](https://jobicy.com/jobs?search_keywords=Platform%20Engineering.md)[System Architecture](https://jobicy.com/jobs?search_keywords=System%20Architecture.md)[Developer Experience](https://jobicy.com/jobs?search_keywords=Developer%20Experience.md)[Technical Leadership](https://jobicy.com/jobs?search_keywords=Technical%20Leadership.md)[Asynchronous Communication](https://jobicy.com/jobs?search_keywords=Asynchronous%20Communication.md)[Prototype Development](https://jobicy.com/jobs?search_keywords=Prototype%20Development.md) Sample interview questionsHow would you distinguish a passing AI-generated test suite from evidence that a feature works as intended?I would begin by identifying the intended behavioral contract and the failure modes that a generated test suite might miss. I would combine contract, integration, property-based, mutation, and production-like validation where appropriate, then use signals such as test quality, behavioral coverage, and real workflow outcomes rather than treating green assertions as sufficient proof. Describe how you would design a mid-loop feedback mechanism for a coding agent. I would make feedback structured, fast, and actionable: connect a proposed change to its intended behavior, run targeted validation, classify failures, and return concise evidence the agent can use to revise its implementation. I would start with a narrow prototype, measure correction quality and latency, then evolve the system based on observed developer and agent workflows. How would you build a shared trusted-validation model while supporting Rust, Ruby, and Go? I would define language-independent concepts such as intent, observable behavior, confidence, evidence, and feedback contracts. The platform would standardize these interfaces while allowing each language ecosystem to use its most appropriate parsers, analyzers, test mechanisms, and runtime instrumentation. What considerations matter when designing this platform to run on Kubernetes? I would design for isolation of untrusted workloads, resource quotas, reproducibility, secure secret handling, observability, and efficient scheduling of short-lived validation jobs. I would also account for cache strategy, queueing, failure recovery, multi-tenancy, and cost controls so feedback remains fast and reliable at scale. How would you drive adoption of a new developer-validation platform without formal authority? I would partner with early adopter teams, solve concrete workflow pain points, and publish clear evidence of the platform's value through working prototypes and measurable outcomes. I would use design reviews, documentation, asynchronous discussion, and iterative feedback to build trust and ensure the platform fits real engineering practices. Opportunity details ## About this role. 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. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. [Co-create the future with us](https://www.youtube.com/watch?v=OuZIb5zszQI) as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. ### An overview of this role The Trusted Agentic Development team sits within GitLab’s Developer Experience group and builds the platforms our engineers rely on every day. GitLab engineers increasingly build software with artificial intelligence agents. Agents can generate code and tests in seconds, but they can also produce passing test suites for software that doesn’t work as intended. As a Senior Backend Engineer, Trusted Agentic Development, you’ll own the technical thesis for closing that validation gap and build the early proof yourself. You’ll rethink what validation means when the author is an agent and make the feedback loop fast, automatic, and trustworthy enough that teams choose to adopt it. * Validation that confirms agent-generated code does what was intended, so a passing suite means a working feature and not just a satisfied proxy. * Mid-loop feedback that helps an agent self-correct toward working software instead of green assertions. * Language-aware approaches under one shared model of what “trusted” means, starting with Rust, Ruby, and Go, while allowing the right technique to differ by language. * Real measurement of whether engineers trust and adopt the path, fed straight back into the platform. ### What you’ll do * Own the technical thesis for how GitLab validates software when an agent is the author, and turn it into an architecture the team can build against. * Prototype the hard parts by building early versions of feedback mechanisms that catch the gap between passing tests and working software, proving what works before the team scales it. * Develop approaches for GitLab’s primary stacks, starting with Rust, Ruby, and Go, under one shared definition of “trusted,” while allowing the right technique to differ by language. * Design the mid-loop feedback an agent needs to self-correct toward working software rather than green assertions, and build the systems that deliver it. * Collaborate with engineering teams to adopt these approaches, measure adoption, engineer trust, and validation quality, and use those findings to improve the platform. * Set technical direction the team can build on, review designs, and help teammates grow their technical judgment. ### What you’ll bring * Deep, current, hands-on experience building real software with artificial intelligence agents, ideally across more than one language, and a clear understanding of why agent output can pass tests yet fail in production. * A strong point of view on the validation gap and concrete ideas for closing it, backed by approaches you’ve built or tried. * Experience designing distributed systems designed to run on Kubernetes first. * The technical range to design systems rather than tune a single framework, and the judgment to know when a solution should be general or language-specific. * You prototype to learn, and you ship. * The ability to influence engineers across an organization without formal authority through working code and sound reasoning. * Strong written communication in an all-remote, asynchronous environment. * Alignment with GitLab’s values, especially collaboration, iteration, and transparency. This isn’t a quality assurance or test automation role. We aren’t looking for depth in a particular testing framework. We’re looking for someone who has built with agents, experienced the validation gap firsthand, and wants to solve it. ### About the team The Trusted Agentic Development team is part of GitLab’s Developer Experience group. We build platforms and practices that help GitLab engineers validate agent-generated software with confidence. We work across engineering teams and programming languages to understand how people use agents, test new approaches in real workflows, and create a shared model of trusted agentic development that teams choose to adopt. Poland base salary range: 272,000 PLN – 408,000 PLN The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. ### How GitLab Supports Full-Time Employees * [Benefits to support your health, finances, and well-being](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/) * [Flexible Paid Time Off](https://handbook.gitlab.com/handbook/people-group/time-off-and-absence/time-off-types/#flexible-paid-time-off-pto) * [Team Member Resource Groups](https://handbook.gitlab.com/handbook/company/culture/inclusion/tmrg-tmag/) * [Equity Compensation & Employee Stock Purchase Plan](https://handbook.gitlab.com/handbook/total-rewards/stock-options/) * [Growth and Development Fund](https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/) * [Parental Leave](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#parental-leave) Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from [underrepresented groups](https://about.gitlab.com/company/culture/inclusion/#examples-of-select-underrepresented-groups) are less likely to apply to a job unless they meet every single qualification. If you’re excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our [Recruitment Privacy Policy.](https://handbook.gitlab.com/handbook/hiring/candidate-faq/recruitment-privacy-policy/) Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also [GitLab’s EEO Policy](https://about.gitlab.com/handbook/people-policies/inc-usa/#equal-employment-opportunity-policy) and [EEO is the Law](https://about.gitlab.com/handbook/labor-and-employment-notices/#eeoc-us-equal-employment-opportunity-commission-notices). If you have a disability or special need that requires [accommodation](https://about.gitlab.com/handbook/people-policies/inc-usa/#reasonable-accommodation), please let us know during the [recruiting process](https://about.gitlab.com/handbook/hiring/interviewing/#adjustments-to-our-interview-process). 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