Senior AWS Software Engineer

LiveData
Remote, United States · Boston, Massachusetts, United StatesFull-time$145,000–$175,000Posted Aug 31, 2026

About the role

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

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.

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.

Serverless-first architecture. We build on Lambda and Aurora Serverless rather than managing EC2 instances or containers. We value experience with serverless patterns.

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.

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.

Responsibilities

  • 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 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

Qualifications

  • 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 to amplify output
  • Hands-on production experience with the AWS serverless stack
  • Experience defining infrastructure as code with AWS CDK
  • Familiarity with event-driven architecture patterns on AWS
  • Solid understanding of REST API design and integration
  • Experience with SQL databases and data management

Benefits

  • Health, dental, and vision insurance
  • 401(k)
  • Paid time off
  • Remote work flexibility

Skills mentioned

PythonTypeScriptAWSServerless ComputingInfrastructure as CodeREST APIsEvent-Driven ArchitectureSQLGitLinux

About LiveData

LiveData develops and deploys surgical capacity management solutions that advance operational efficiency and patient safety. Surgery departments using LiveData PeriOp Manager™ have documented significant improvements in KPIs including block utilization, case scheduling accuracy, first-case-on-time-starts, cancellations, and OR turnover times. Integrating with organizations’ electronic health record (EHR), LiveData’s cloud-based solution enables high-performance clinical teams to complete more surgeries daily with the same staff and resources, providing millions of dollars of incremental revenue and margin and increased patient safety. On what is often one of the most important days of the patient’s life, LiveData is the hospital’s trusted and comprehensive surgical capacity management solution partner. It enables teams to optimize care delivery to meet value-based healthcare's cost and quality challenges. LiveData PeriOp Manager is a fully integrated, real-time, perioperative system of engagement that coordinates and manages the patient’s journey through surgery. This provides unprecedented operational intelligence OR leadership can use to increase utilization, reduce cost, and improve quality of care. PeriOp Manager enables high-performing clinical teams to plan, visualize, and analyze surgical workflows. Health systems leverage their strategic EHR investment by empowering hospitals and surgery centers to measurably track, improve, and sustain performance. LiveData PeriOp Manager's System of Engagement includes: • LiveData Insights with AI Advisor • Patient Flow • PreOp Board • OR-Dashboard with Active Time Out • OR-Schedule Board • Family Waiting Board

Software Development11-50 employeesBoston, Massachusetts