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Distinguished Engineer, Agentic SDLC & Non‑Linear Productivity

GitLab · Remote, Canada; Remote, US · greenhouse · fit score 32.0 · 💰 $260K
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Job description

<div class="content-intro"><p>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.</p> <p>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&nbsp;and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. <a href="https://www.youtube.com/watch?v=OuZIb5zszQI">Co-create the future with us</a> as we build technology that transforms how the world develops software.</p> <p>*<em>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.</em></p></div><p><strong>About t

✍️ Tailored application (cached — grounded in your resume)

58 / 100 honest fit

Daniel's strongest signal for this role is direct, hands-on: he has spent 2025–present designing, shipping, and operating a suite of production Flask/Python services with Claude Code as a core part of his engineering workflow — going from idea to deployed, monitored production service in days, which is exactly the non-linear productivity thesis this role exists to prove out. That is reinforced by real backend/CI-CD depth at Medtronic (Python automation frameworks in CI/CD, AWS Lambda/S3/DynamoDB, Jenkins, cross-team root-cause analysis) and a safety-critical medical-device background where reliability and correctness are requirements rather than features. The honest gap is seniority scope: his agentic-SDLC work is independent and self-hosted rather than org-wide, and his titles are Senior rather than Staff/Principal, so he has not yet driven technical strategy across an engineering organization at the scale a Distinguished Engineer role assumes.

Tailored resume highlights

"Why this company?" (draft — personalize before sending)

I've spent the last year proving to myself, at small scale, what this role is chartered to prove at GitLab's scale: that agentic tooling changes the shape of the SDLC rather than just autocompleting it. I've shipped roughly a dozen production Flask services with Claude Code — real traffic, real uptime, days from idea to deployed. GitLab is one of the few places where that work meets a full DevSecOps platform instead of stopping at my server. And coming from medical-device software, where correctness is a requirement rather than a feature, I care about the hard part: making AI-accelerated development something regulated teams can actually trust.

Cover letter (review before sending)

Dear GitLab Hiring Team, I'm applying for the Distinguished Engineer, Agentic SDLC & Non-Linear Productivity role because I've been living this thesis on my own time for the past year. Since 2025 I've designed, built, and operated a suite of production Flask/Python applications on a self-hosted Linux server, using LLM/agentic tooling (Claude Code) as a core part of the engineering workflow rather than a novelty. These are live, public products behind Cloudflare tunnels — gunicorn, hardened endpoints, per-IP rate limiting, cron data pipelines, self-healing watchdogs — with real organic traffic. I go from idea to deployed, monitored production service in days. That velocity rests on discipline I learned elsewhere. At Medtronic I build backend services and Python automation frameworks integrated into CI/CD, implement AWS solutions (Lambda, S3, DynamoDB), and lead root cause analysis of complex field-found issues across teams. Medical-device software taught me that reliability and correctness are requirements, not features — which is the constraint that makes agentic development trustworthy at scale, and the problem I'd want to work on at GitLab. Sincerely, Daniel Maynard

ATS keywords you have but should add

developer productivityDevSecOpsAI-augmented developmentagentic toolingLLM toolingSDLCGitGitLab CI/CDfull-stack developmentFlaskLinuxgunicornproduction operationsobservability / monitoringtechnical mentorshipcross-functional collaborationremote / distributed workdeveloper experience

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