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Senior AWS Serverless Software Engineer (Python, Healthcare Tech)

livedata United State
Remote
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AI Summary

Design and build production software for a serverless AWS stack in a fast-moving, AI-native healthcare tech company. Own end-to-end development from design to deployment and support. Improve clinical workflows and patient outcomes through automation.

Key Highlights
AI-native development: Daily use of AI coding assistants (Claude Code, Cursor) as standard tools
Serverless-first AWS architecture: Lambda, Aurora Serverless, API Gateway, EventBridge
Healthcare impact: Build systems that automate clinical workflows and reduce clinician errors
Key Responsibilities
Design, develop, test, and deploy production features and services across a serverless AWS stack
Own work end-to-end from design through deployment and production support
Write production code primarily in Python, with TypeScript where required
Build and integrate REST APIs and event-driven workflows between clinical systems and modern tooling
Use AI coding assistants (Claude Code and similar tools) as a core part of daily development workflow
Break loosely defined requirements into shippable increments and iterate quickly
Review code, raise the quality bar, and share engineering judgment with the team
Collaborate with Product on priorities, with QA on test strategy, and with DevOps on deployment and operations
Integrate with EHR systems and healthcare data standards where the work requires it
Technical Skills Required
Python Amazon Web Services Serverless Architecture
Benefits & Perks
Health, dental, and vision insurance
401(k)
Paid time off
Remote work flexibility
Nice to Have
Experience in healthcare or another regulated environment
Familiarity with EHR systems (MEDITECH, Oracle Health/Cerner, Epic) and clinical workflows
Experience with perioperative, surgical, or procedural workflows and the systems that support them
Experience with federal health systems or VA environments
Knowledge of healthcare data standards such as HL7 and FHIR
Experience building and operating clinical interfaces in production, including error handling and reprocessing
Experience developing MUMPS code in an Intersystems Cache/IRIS environment
Familiarity with handling PHI in cloud infrastructure (encryption, access control, audit logging)
Experience with TypeScript and modern front-end tooling

Job Description


AWS Senior Software Engineer

Remote, United States (Eastern Time preferred) | Full-Time


About LiveData

LiveData is a healthcare technology company automating clinical and operational workflows across Electronic Health Record (EHR) systems. Our engineering team treats AI coding assistants as standard development tools, not experiments. We build on a serverless-first AWS architecture to keep systems lean and costs low.


The Role

We are looking for a Senior Software Engineer to design, build, and ship production software across our serverless AWS stack. This is a hands-on individual contributor role on a small, AI-native team. You will own work end-to-end, from design through deployment and production support, and iterate quickly alongside engineers who use AI coding assistants every day.

We move fast because our team is small and AI-forward. We are looking for a senior engineer who already works this way: someone who uses AI to amplify their output, breaks loosely defined problems into shippable increments, and applies sound engineering judgment to keep systems reliable and maintainable. Healthcare domain knowledge is welcome but not required; the drive to build software that measurably improves patient outcomes matters most.


What You Will Do

  • Design, develop, test, and deploy production features and services across our serverless AWS stack
  • Own your work end-to-end, from design through deployment and production support
  • Write production code primarily in Python, with TypeScript where the work calls for it
  • Build and integrate REST APIs and event-driven workflows between clinical systems and modern tooling
  • Use AI coding assistants (Claude Code and similar tools) as a core part of your daily development workflow
  • Break loosely defined requirements into shippable increments and iterate quickly
  • Review code, raise the quality bar, and share engineering judgment with the team
  • Collaborate with Product on priorities, with QA on test strategy, and with DevOps on deployment and operations
  • Integrate with EHR systems and healthcare data standards where the work requires it


What You Bring

Required:

  • 5+ years developing and shipping production software
  • Strong proficiency in Python, with experience building services, APIs, and integrations
  • Demonstrated daily use of AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) to amplify output
  • Hands-on production experience with the AWS serverless stack (Lambda, Aurora Serverless, S3, API Gateway) and serverless-first architecture
  • Experience defining infrastructure as code with AWS CDK
  • Familiarity with event-driven architecture patterns on AWS (EventBridge, SQS, SNS, Step Functions, or similar)
  • Solid understanding of REST API design and integration (JSON, OAuth)
  • Experience with SQL databases and data management
  • Bias toward shipping; able to turn loosely defined problems into reliable, maintainable software
  • Strong analytical and problem-solving skills; able to work independently and own outcomes
  • Comfortable working from the command line; experience with Unix/Linux shell environments and composing small tools into reliable workflows
  • Excellent written and verbal communication skills; directing AI tools well is a language skill (precise prompts, clear specifications, and articulate code review), and that same clarity drives collaboration with Product, QA, DevOps, and clinical stakeholders


Preferred:

  • Experience in healthcare or another regulated environment.
  • Familiarity with EHR systems (MEDITECH, Oracle Health/Cerner, Epic) and clinical workflows.
  • Experience with perioperative, surgical, or procedural workflows and the systems that support them.
  • Experience with federal health systems or VA environments.
  • Knowledge of healthcare data standards such as HL7 and FHIR.
  • Experience building and operating clinical interfaces in production, including error handling and reprocessing.
  • Experience developing MUMPS code in an Intersystems Cache/IRIS environment.
  • Familiarity with handling PHI in cloud infrastructure (encryption, access control, audit logging).
  • Experience with TypeScript and modern front-end tooling


Tech Stack

  • Languages: Python (primary), TypeScript, SQL
  • Cloud: AWS (Lambda, Aurora Serverless, S3, CDK)
  • Healthcare: MEDITECH, Oracle Health, Epic, HL7, FHIR
  • Development: Git, AI coding assistants (Claude Code), VS Code
  • Architecture: Serverless-first, REST APIs, event-driven workflows


What Sets This Role Apart

  1. AI-native by default. We build inside Claude Code and VS Code and treat AI coding assistants as standard tools. Demonstrated AI proficiency is a baseline, not a bonus. The engineers who get the most from these tools are those who write and reason clearly.
  2. Fast delivery on a small team. We are small and AI-forward, so senior engineers own real scope and see their work reach production quickly.
  3. Serverless-first architecture. We build on Lambda and Aurora Serverless rather than managing EC2 instances or containers. We value experience with serverless patterns.
  4. End-to-end ownership. You own your work from design through deployment and production support, collaborating with QA and DevOps rather than handing off and walking away.
  5. Direct connection to patient care. The systems you build support clinical and operational workflows, reducing errors and freeing clinicians to focus on patients.


Compensation & Benefits

We offer a competitive salary based on experience and location, with a target range of $145–$175K. Benefits include health, dental, and vision insurance; 401(k); paid time off; and remote work flexibility.


Work Location

This is a remote-first role. While you can work from anywhere in the U.S., we strongly prefer candidates in the Eastern Time Zone. If you are located elsewhere, you should have experience working core business hours (8 AM to 5 PM ET). Additionally, you must be available to travel to the Boston area approximately once per quarter for in-person team collaboration.


Employment Authorization

Applicants must be authorized to work in the United States on a full-time basis. We are unable to provide visa sponsorship now or in the future.


The chosen candidate must pass a standard background check/drug test.


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