Job description
<div class="content-intro"><p>Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.</p></div><p data-pm-slice="1 1 []">Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.<br> </p> <p>Our team sits within Developer Productivity, whose mission is to make software development at Affirm simpler and faster across the company. The broader org owns much of the path between a developer’s laptop and production, including developer environments, test automation, code standards, CI/CD, and release engineering, all in service of helping engineers ship code quickly, safely, and with confidence. The Continuous Delivery team’s charter is centered on enabling engineering teams to release independently through strong automation, standard patterns, predictable rollouts, resilient recovery mechanisms, and less manual toil.</p> <p> </p> <p>This role is uniquely positioned to help solve one of Affirm’s most important engineering challenges: scaling developer productivity in an era where the software development lifecycle is increasingly AI-enhanced. The team builds and improves the platforms, workflows, and guardrails that help engineers move from idea to production faster, with better safety, consistency, and developer experience. We value engineers
✍️ Tailored application (cached — grounded in your resume)
78 / 100 honest fit
Daniel is a strong fit for a Continuous Delivery / Developer Productivity role: his day-to-day work is exactly CI/CD, test automation, and reliability engineering — he builds Python automation frameworks in Jenkins pipelines, ships backend/AWS services, and is a heavy Claude Code power user, which maps directly to the team's mandate of scaling developer productivity in an AI-enhanced SDLC. The main gap is scale/domain: his CI/CD experience is within regulated medical-device software rather than a large fintech platform team, and he hasn't formally owned org-wide release-engineering tooling used by many teams.
Tailored resume highlights
- Developed Python-based automation frameworks integrated into CI/CD (Jenkins) pipelines, enabling reproducible deployments and accelerating feature delivery across teams.
- Expanded automated regression and integration pipelines that reduced manual testing effort by 40% while increasing reliability — directly reducing engineering toil.
- Built fault-tolerant, reproducible validation pipelines on AWS (Lambda, S3, DynamoDB) that improved uptime and reduced deployment errors.
- Led root-cause analysis of complex, field-found defects, reproducing rare issues in-house and driving resolution across multiple teams — resilient recovery under safety-critical constraints.
- Ship production full-stack services end-to-end using LLM/agentic tooling (Claude Code), taking projects from idea to monitored production in days — hands-on with the AI-enhanced SDLC this team is scaling.
"Why this company?" (draft — personalize before sending)
Affirm's Continuous Delivery team is solving a problem I care about firsthand: scaling developer productivity as the SDLC becomes AI-enhanced. I've shipped around a dozen production services end-to-end with Claude Code, so I have real opinions about where agentic tooling accelerates engineers and where guardrails and predictable rollouts have to hold. That instinct comes from my medical-device background, where reliability and correctness aren't features. Building the automation and standard patterns that let engineers ship quickly and safely is exactly the CI/CD and reliability work I already do day to day.
Cover letter (review before sending)
Dear Affirm Hiring Team,
I'm applying for the Senior Software Engineer, Backend role on the Continuous Delivery team. The charter — helping engineers release independently through strong automation, standard patterns, and less manual toil — describes the work I already do. At Medtronic I build Python automation frameworks integrated into Jenkins CI/CD pipelines, expanded regression and integration automation that cut manual testing effort by 40%, and implemented AWS services (Lambda, S3, DynamoDB) for reliable, reproducible data processing. Because my background is safety-critical medical-device software, reliability, correctness, and predictable rollouts are requirements I'm used to treating as non-negotiable.
I'm especially drawn to the team's focus on scaling developer productivity in an AI-enhanced SDLC. Independently, I've shipped roughly a dozen production services built end-to-end with Claude Code and agentic tooling, so I have real conviction about where AI-assisted development helps and where guardrails matter. I'd bring that hands-on perspective to the platforms and workflows your team builds.
Thank you for your consideration.
Daniel Maynard
ATS keywords you have but should add
release engineeringdeveloper productivitycontinuous deliveryrollouts / predictable rolloutsguardrailsdeveloper experiencereducing toilrelease automationAI-enhanced SDLC / agentic tooling
Everything is grounded strictly in your resume — review before you submit. Nothing is auto-sent.