Job description
<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> <div class="p-rich_text_block"> <div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div> </div> </div> </div> </div> </div></div><p><strong>Who We Are: </strong><strong><br></strong>The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.</p> <p><strong>What You’ll Do:</strong><strong><br></strong>As a <strong>Senior </strong><strong>Software Engi
✍️ Tailored application (cached — grounded in your resume)
68 / 100 honest fit
Daniel is a strong backend/platform fit: he builds Python services, APIs, and CI/CD automation on AWS, does deep root-cause debugging across teams, and is a heavy LLM/agentic-dev practitioner who ships production services end-to-end — directly relevant to a GenAI/ML Platform team. The obvious gap is that his infrastructure experience is in regulated medical-device and self-hosted contexts rather than large-scale ML training/serving or recommendation infra at Reddit's scale.
Tailored resume highlights
- Design and maintain scalable Python backend services, APIs, and automation frameworks integrated with AWS (Lambda, S3, DynamoDB) for reliable, high-throughput data processing and monitoring.
- Hands-on GenAI/agentic-development practitioner: designed, built, and operate a suite of production Flask/Python web apps using LLM/agentic tooling (Claude Code) as a core engineering workflow, going from idea to monitored production service in days.
- Built Python automation frameworks integrated into Jenkins CI/CD, enabling reproducible deployments, accelerating feature delivery, and reducing manual regression effort by 40%.
- Led root-cause analysis of complex, cross-team field issues — reproducing rare defects in-house and driving resolution across embedded and cloud components.
- Operate hardened, self-healing production infrastructure (gunicorn, per-IP rate limiting, automated cron data pipelines, watchdogs, reboot-safe scheduling) serving real organic traffic.
"Why this company?" (draft — personalize before sending)
Reddit's ML Platform team owns the infrastructure that powers recommendations and content discovery for teams across the company — that platform-and-reliability mindset is exactly where I work best. I build scalable Python backend services on AWS with strong CI/CD and test discipline, sharpened in regulated medical-device software where reliability isn't optional. I'm also a heavy Claude Code / agentic-dev user who has shipped and operates roughly a dozen production services with LLM tooling, so a GenAI platform sits right at the intersection of the infrastructure work I do and the AI-augmented workflows I already practice daily.
Cover letter (review before sending)
Dear Reddit Hiring Team,
I'm applying for the Senior Software Engineer, GenAI Platform role. My background is building scalable, reliable backend services and automation — the kind of infrastructure work your ML Platform team owns. At Medtronic I design Python backend services and validation pipelines on AWS (Lambda, S3, DynamoDB), integrate them into Jenkins CI/CD for reproducible deployments, and lead root-cause analysis of complex cross-team issues in safety-critical, regulated software where correctness is a requirement.
What pulls me toward a GenAI platform specifically is that I already live in this space: independently I've designed, shipped, and operate roughly a dozen production Python services built with LLM/agentic tooling (Claude Code), running behind hardened endpoints with rate limiting, automated data pipelines, and self-healing watchdogs. I understand both the reliability discipline and the AI-augmented workflows your platform aims to enable and scale.
I'd welcome the chance to bring that reliability focus and hands-on GenAI experience to Reddit's platform.
Sincerely,
Daniel Maynard
ATS keywords you have but should add
GenAIML Platformmachine learning infrastructureLLMmodel servingdistributed systemsrecommendation systemsplatform engineeringdata pipelineshigh-scale / high-throughput systems
Everything is grounded strictly in your resume — review before you submit. Nothing is auto-sent.