Life Line Screening · 1 week ago
Senior Full Stack Software Engineer
Life Line Screening is seeking a Senior Full Stack Software Engineer to build and evolve modern, cloud-native applications. The role owns features end-to-end across React and TypeScript interfaces, Node.js and GraphQL services, AWS serverless infrastructure, agentic AI development, testing, CI/CD, security, and technical collaboration.
HealthcareHealth CareMedical
No H1B
Responsibilities
Own and deliver end-to-end product features from discovery and design through production support
Build high-quality, accessible (WCAG 2.2 AA), and performant user interfaces using React and TypeScript
Design and implement backend services and APIs using Node.js and GraphQL, with clear contracts and versioning strategies
Develop and operate cloud-native and serverless workloads on AWS, including Lambda, EventBridge, Aurora, SQS/SNS, and DynamoDB
Contribute to service-oriented, event-driven, and event-sourced architectures that scale reliably and evolve safely over time
Commit clean, maintainable, well-documented code and participate in thoughtful code reviews that raise the standard for the whole team
Contribute to architecture decisions and lightweight design records (ADRs, RFCs) that keep intent and trade-offs discoverable — by humans and by agents
Use coding agents (e.g., Claude Code, GitHub Copilot) as the primary implementation surface for well-scoped work, escalating to hands-on coding
Translate product intent into precise, codebase-grounded specifications, acceptance criteria, and task decompositions that an agent can execute
Author and maintain the artifacts agents depend on: repository instruction files, coding standards, architectural conventions, domain glossaries, reusable prompt and skill libraries, and golden reference implementations
Decompose larger initiatives into parallelizable agent tasks, run and supervise concurrent agent sessions, and integrate their output into coherent, reviewable changes
Collaborate with teammates to build and maintain MCP servers, tools, and integrations that give agents safe, scoped access to our repositories, ticketing, documentation, observability, and internal services
Build AI-enabled product features where they create real user value — integrating LLM APIs, retrieval pipelines, and agentic workflows with attention to latency, cost, failure modes, and graceful degradation
For AI-powered features, define and maintain evals, regression suites, and quality benchmarks; monitor for hallucination, prompt injection, and drift
Share patterns, prompts, workflows, and hard-won failure modes; help colleagues move from AI assistance toward safe, well-governed autonomy
Create and maintain automated tests — unit, integration, contract, and end-to-end — as the primary safety net for both human- and agent-authored change
Design tests that verify behavior and intent rather than restating implementation, so they remain meaningful when agents refactor freely
Champion the definition of done: tests, docs, telemetry, security review, and rollback plan — not just a green build
Build and improve CI/CD pipelines and release processes that enable fast, safe, repeatable, and reversible deployments
Define infrastructure as code (AWS CDK, Terraform, or CloudFormation) and treat environments as reproducible artifacts
Instrument services with structured logging, metrics and participate in on-call, incident response, and blameless postmortems
Apply secure coding practices, least-privilege access, and secrets hygiene as part of everyday development
Protect sensitive data by design — encryption in transit and at rest, data minimization, and appropriate retention
Understand and mitigate AI-specific risks such as prompt injection, insecure tool/agent permissions, sensitive data leakage into models, and over-permissioned automation
Collaborate closely with product, design, QA, and engineering peers in an Agile environment
Mentor engineers on system design, code quality, and effective, safe AI-assisted workflows
Influence roadmap and technical direction by translating between business outcomes and engineering trade-offs
Qualification
Required
5+ years of professional experience building and shipping production web applications
Strong experience with React and modern frontend development practices, TypeScript-first
Strong backend experience with Node.js and event-based service design
Hands-on experience deploying and operating services in AWS environments
Familiarity with event-driven and event-sourced system design
Demonstrated experience with automated testing and CI/CD pipelines
Proficiency with Git-based workflows and collaborative, review-driven development
Practical, day-to-day experience using AI coding assistants or agents in real production work — and a clear point of view on where they help, where they fail, and how you verify their output
Strong problem-solving skills and the ability to work effectively across the full stack
Excellent written and verbal communication and the ability to collaborate cross-functionally
Ownership mindset: you take responsibility for outcomes in production, not just for merged pull requests
This is a fully remote position
Life Line Screening will only employ those who are legally authorized to work in the United States for this opening
Preferred
Experience with GraphQL and contract-first API development
Familiarity with Infrastructure as Code (AWS CDK, Terraform, or CloudFormation)
Experience with observability tooling and OpenTelemetry-based instrumentation
Database experience with SQL and/or NoSQL systems, including data modeling for event-sourced systems
Experience building software in regulated or security-sensitive environments
Experience orchestrating multiple coding agents, or building internal tooling, MCP servers, or platform capabilities that make agents effective for a whole team
Experience shipping LLM-powered product features, including retrieval, tool use, prompt/version management, and evaluation
Experience defining evals, guardrails, or governance for AI systems (e.g., aligned to the NIST AI Risk Management Framework or OWASP Top 10 for LLM Applications)
Experience leading large-scale automated refactoring, migration, or modernization efforts
Contributions to developer experience, internal platforms, or engineering enablement
Benefits
Fully remote position
Company
Life Line Screening
Mobile preventive health screenings for stroke, heart disease, cancer.
Funding
Current Stage
Late StageTotal Funding
unknown2005-05-16Private Equity
Leadership Team
Matt Miller
Chief Executive Officer
J
Joe Jahnke
CFO
Recent News
2026-05-07
Company data provided by crunchbase