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Remote Full Stack Team Lead Jobs in Ohio (NOW HIRING)

McKesson

Senior AI Full stack Software Engineer

Columbus, OH · On-site +1

$131K - $218K/yr

... team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered ... Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making ...

McKesson

Senior AI Full stack Software Engineer

Columbus, OH · On-site +1

$131K - $218K/yr

... team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered ... Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making ...

TQL

Principal Engineer

Cincinnati, OH · On-site +1

Lead and collaborate with cross-functional, full-stack agile teams to deliver software solutions that meet customer needs* Design and build hybrid, on-prem, and cloud-based APIs and web-based ...

Piedmont Urgent Care

A/R Team Lead

Cleveland, OH · Remote

An A/R Lead for Four Winds Health is responsible for supporting all aspects of the Revenue Cycle ... Must be able to work effectively in a remote environment while staying connected, collaborative and ...

AssetWatch, Inc.

Team Lead, Customer Success

Columbus, OH · Remote

$110K - $135K/yr

What's the Opportunity The Customer Success Team Lead is a strategic, hands-on role responsible for ... Familiarity with CRM platforms (Salesforce preferred) and remote communication tools (Zoom, Slack ...

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Remote Full Stack Team Lead information

What is a remote full stack team lead?

A Remote Full Stack Team Lead is a software development professional who oversees a team of developers working on both front-end and back-end technologies, all while working remotely. They are responsible for managing project workflows, ensuring high-quality code, facilitating communication among team members, and mentoring less experienced developers. In addition to technical expertise, they need strong leadership and organizational skills to coordinate remote teams across different time zones. Their role bridges the gap between technical execution and project management, ensuring the successful delivery of software products.

How does a remote full stack team lead effectively manage and support a distributed development team?

As a Remote Full Stack Team Lead, you will typically rely on a combination of regular virtual meetings, clear documentation, and collaborative tools to manage and support your distributed team. You'll be responsible for setting clear expectations, tracking progress across both frontend and backend tasks, and ensuring open communication among team members. It's important to foster a collaborative environment where feedback is encouraged and team members feel supported, despite being in different locations. Successful leads also dedicate time to mentoring, code reviews, and aligning the team’s work with overall project goals.

What are the key skills and qualifications needed to thrive as a remote full stack team lead, and why are they important?

To thrive as a Remote Full Stack Team Lead, you need strong proficiency in both front-end and back-end development, leadership experience, and a solid understanding of software architecture and agile methodologies. Familiarity with frameworks like React or Angular, backend languages such as Node.js or Python, cloud platforms, and tools like Git, along with project management software, is typically required. Outstanding communication, collaboration, and problem-solving skills set exceptional leaders apart, especially when managing distributed teams. These abilities ensure high-quality code delivery, effective team coordination, and successful project outcomes in a remote setting.

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Infographic showing various Remote Full Stack Team Lead job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Senior Full Stack Software Engineer

Cleveland, OH • On-site, Remote

Life Line Screening
1 - 5K employees
Learn more about Life Line Screeningexternal

Full-time

Posted 24 days ago

Life Line Screening rating

5.3

Company rating: 5.3 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

Senior Full Stack Software Engineer
TypeScript • React • Node.js • GraphQL • Event-Driven Architecture • AWS Serverless • AI-Assisted Engineering
Overview
We're looking for a Senior Full Stack Software Engineer to build and evolve modern, cloud-native applications. You'll own features end-to-end - from designing performant React/TypeScript user experiences to building event-sourced Node.js services and GraphQL APIs running serverless on AWS. You'll partner closely with product and design, contribute to system architecture in an event-driven, service-oriented environment, and help strengthen engineering practices around CI/CD, automated testing, observability, and security-by-design.
We use a modern stack and SDLC, this is an AI-native engineering role. Our software development lifecycle is built around agentic AI: coding agents plan, implement, test, and review alongside us across the full pipeline. We expect senior engineers to be fluent operators of these tools - directing agents with precise intent, engineering the context they work from, and rigorously verifying what they produce. The bar for correctness, security, and maintainability does not move because an agent wrote the code; if anything, it rises. You will spend less time typing boilerplate code and more time specifying, orchestrating, reviewing, and owning outcomes.
Key Responsibilities
Product & Platform Delivery
  • 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.
Agentic AI Development & Orchestration
  • Work agent-first by default. Use coding agents (e.g., Claude Code, GitHub Copilot) as the primary implementation surface for well-scoped work, escalating to hands-on coding.
  • Practice spec-driven development. Translate product intent into precise, codebase-grounded specifications, acceptance criteria, and task decompositions that an agent can execute.
  • Engineer the context, not just the prompt. 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.
  • Orchestrate multi-agent workflows. Decompose larger initiatives into parallelizable agent tasks, run and supervise concurrent agent sessions, and integrate their output into coherent, reviewable changes.
  • Extend the agent toolchain. 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.
  • Evaluate what you ship. For AI-powered features, define and maintain evals, regression suites, and quality benchmarks; monitor for hallucination, prompt injection, and drift.
  • Collaborative & Team-Centric. Share patterns, prompts, workflows, and hard-won failure modes; help colleagues move from AI assistance toward safe, well-governed autonomy.
Quality, Testing & Verification
  • 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.
Delivery, CI/CD & Operations
  • 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.
Security, Privacy & Compliance
  • 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.
Collaboration & Technical Leadership
  • 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.

Qualifications
  • 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.

Preferred Qualifications
  • 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.

How We Work
  • Product-Led Teams with Strategic Focus. Engineers are embedded within cross-functional product teams that work from intentionally prioritized backlogs aligned to business outcomes. We empower engineers to understand the "why" behind the work and actively contribute ideas that shape solutions and product direction.
  • A Culture of Collaboration. Collaboration is central to how we work. Architecture reviews, design discussions, pair programming, mob sessions, and open RFCs are part of our normal rhythm. We share ideas early and often because the strongest solutions emerge through collective thinking and diverse perspectives.
  • Humans own the outcome. Agents draft, propose, and automate. Engineers own architecture, security, business logic, and the decision to ship.
  • Small batches, fast feedback, reversible decisions. We optimize for lead time and change-failure rate, not lines of code.

What Success Looks Like
  • First 30 days: productive in the codebase and our agentic workflow; shipping small, reviewed changes to production with confidence.
  • First 90 days: independently owning features end-to-end; improving at least one shared asset - a test suite, a pipeline stage, an agent context file, a quality gate - that makes the whole team faster.
  • First year: trusted owner of a meaningful part of the system; a visible force multiplier for how the team designs, builds, verifies, and operates software.

This is a fully remote position.
Life Line Screening is proud to be an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age disability, protected veteran status, or other characteristics protected by law. Life Line Screening will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background check and drug screen.
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