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Disney | Senior Software Engineer, Backend | ONSITE, NYC | Full Time The Subscriptions team is looking to expand our tea

Disney · Remote · hn · fit score 12.0
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Job description

Disney | Senior Software Engineer, Backend | ONSITE, NYC | Full Time The Subscriptions team is looking to expand our team in the NYC office. We are a dynamic team of engineers that support all your Disney, ESPN and Hulu subscriptions at scale! We solve problems at internet-scale that only a handful of teams ever reach. * FP Scala is our main programming language. Apply if you have FP experience - we consider other language backgrounds but if you have FP experience, you will be strongly considered. * Strong collaborator - this team is very social and we keep each other honest. * Passion in maintaining high code quality. * AI Enabled but not dependent. * Our backends are global scale built on AWS and K8S. If you are comfortable with these technologies, please apply below! https://www.disneycareers.com/en/job/new-york/senior-softwar...

✍️ Tailored application (cached — grounded in your resume)

47 / 100 honest fit

Daniel is a senior backend engineer whose day job is exactly the shape of this role's non-language requirements: production services and data pipelines on AWS (Lambda, S3, DynamoDB), Python automation wired into CI/CD, deep cross-team root-cause work, and a career spent in regulated medical-device software where correctness is a hard requirement — which maps well to subscriptions and billing, where a defect costs a customer money or access. He is a strong collaborator and mentor with a genuine high-code-quality bias (test frameworks, regression automation, TDD), and he is AI-enabled without being AI-dependent, having shipped and operated a suite of live Flask services using Claude Code while still owning the design, hardening, and monitoring himself. The clear gap is the headline requirement: he has no Scala or functional-programming experience on his resume, and no Kubernetes — his scale work is AWS-serverless, not internet-scale K8S, so he would be applying as one of the 'other language backgrounds' the posting says it considers.

Tailored resume highlights

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

Subscriptions is where a bug isn't cosmetic — someone's billing breaks or they can't watch the game they paid for. That's the closest thing in consumer software to what I do now at Medtronic, where correctness on connected medical devices is a requirement, not a feature, and I'd rather bring that instinct somewhere it still matters. 'AI Enabled but not dependent' also describes how I actually work: I've shipped a suite of production Flask services with Claude Code, and they stay up because I still own the design, the tests, and the monitoring. The FP Scala is honestly part of the draw — I want to learn it properly.

Cover letter (review before sending)

Dear Disney Subscriptions Team, I'm applying for the Senior Software Engineer, Backend role in NYC. I should be upfront: my background is Python, C++, and AWS rather than Scala, so I'd be one of the other-language candidates your posting says you consider. What I'd bring is the rest of it, earned rather than claimed. At Medtronic I build backend services and validation pipelines for connected medical devices, implement AWS solutions with Lambda, S3, and DynamoDB for scalable data processing and monitoring, and lead root cause analysis on field-found defects — reproducing rare failures in-house and driving fixes across teams. Before that I designed Python and C++ test frameworks for real-time protocols and expanded Jenkins-integrated regression automation that cut manual effort 40%. In regulated medical software, high code quality isn't a preference; it's the job. Subscriptions strikes me as one of the few consumer domains where that's equally true. On AI-enabled but not dependent: I've shipped and operate a suite of production Flask services built with Claude Code — hardened, rate-limited, monitored, and still my design. I'd be glad to talk. Daniel Maynard

ATS keywords you have but should add

high code qualityAI-enabled development (LLM / agentic tooling)global scale / scalable distributed backendsAWS (Lambda, S3, DynamoDB)production monitoring and observabilityLinux (self-hosted production servers)strong collaborator / cross-functional partnershipon-call style root cause analysis of production defectsREST APIs and microservicesCI/CD (Jenkins)

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