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Full Stack Software Engineer Jobs in Cleveland, OH

Tata Consultancy Service Limited

Engineer

Cleveland, OH · On-site

$110K - $120K/yr

Java Full Stack Developer * Backend developer with Strong API development experience. * Must ... in full stack software development with hands on experience with front end (React, Angular ...

Radiance Technologies, Inc.

Software Engineer

Bath, OH · On-site

$80 - $100/hr

Radiance Technologies is seeking a Full Stack Software Engineer to support the National Air and Space Intelligence Center (NASIC) by creating web‑based tools that reduce user friction and improve ...

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All JobsFull Stack Software Engineer JobsFull Stack Software Engineer Jobs in Cleveland, OH

Full Stack Software Engineer information

See Cleveland, OH salary details

$43.2K

$130.7K

$184.8K

How much do full stack software engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for full stack software engineer in Cleveland, OH is $130,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $153,200.00 per year, depending on experience, location, and employer.

What is a full stack software engineer?

A full stack software engineer develops all aspects of a software application, from the user interface to the back-end database. As a full stack software engineer, your job duties include gathering customer requirements, writing the code to develop the application, and troubleshooting the application for any issues. The qualifications to pursue a career as a full stack software engineer include an associate or bachelor’s degree in computer science, software engineering, or a related field and proficiency in a variety of coding languages and frameworks.

What are the key skills and qualifications needed to thrive as a full stack software engineer, and why are they important?

To thrive as a Full Stack Software Engineer, you need strong proficiency in both front-end (e.g., HTML, CSS, JavaScript) and back-end (e.g., Node.js, Python, Java) development, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks (like React or Angular), version control (such as Git), databases (SQL/NoSQL), and cloud platforms is essential, and certifications like AWS Certified Developer can be beneficial. Problem-solving ability, collaboration, and adaptability are vital soft skills that help engineers navigate complex projects and work effectively in teams. These skills ensure the ability to deliver robust, scalable, and user-friendly applications that meet dynamic business needs.

How do full stack software engineers typically collaborate with other team members during a development project?

Full Stack Software Engineers often work closely with front-end and back-end developers, UI/UX designers, product managers, and QA testers throughout the software development lifecycle. Collaboration typically involves participating in agile ceremonies such as daily stand-ups, sprint planning, and code reviews to ensure alignment and progress. They are expected to communicate effectively across disciplines, help troubleshoot issues that span both client and server sides, and contribute to shared documentation. This collaborative environment helps ensure that solutions are cohesive, scalable, and meet user requirements.

What is the difference between Full Stack Software Engineer vs Front End Developer?

AspectFull Stack Software EngineerFront End Developer
Required SkillsProficiency in both front-end and back-end technologies, including HTML, CSS, JavaScript, server-side languages, and databases.Specializes in client-side technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
Work EnvironmentWorks on both server and client-side development, often involved in full project lifecycle.Focuses primarily on designing and implementing user interfaces and user experience.
Common UsageUsed in full-stack development teams, startups, and projects requiring versatile developers.Found in teams emphasizing UI/UX, web design, and front-end frameworks.

While both roles require strong JavaScript skills, Full Stack Software Engineers handle both front-end and back-end development, whereas Front End Developers focus solely on the user interface and experience. The choice depends on whether you prefer a broader development scope or specialization in UI design.

Are full stack software engineers in demand?

Full stack software engineers are in high demand due to their ability to work on both front-end and back-end development, making them valuable in many industries. Companies seek these professionals for their versatility, often requiring knowledge of frameworks, programming languages, and tools like JavaScript, Python, and cloud platforms. The demand is expected to grow as digital transformation continues across sectors.

Can I learn full stack software engineer in 3 months?

Becoming a full stack software engineer in three months is challenging, as it typically requires several months to years of consistent learning to gain proficiency in both front-end and back-end development, including skills in programming languages, frameworks, databases, and version control. Intensive bootcamps or self-study programs can accelerate learning, but practical experience and project work are essential for job readiness.
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For Full Stack Software Engineer jobs in Cleveland, OH, the most frequently searched job titles are:

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Full Stack Software Engineer jobs near you
Infographic showing various Full Stack Software Engineer job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $130,704 per year, or $62.8 per hour.

Senior Full Stack Software Engineer

Life Line Screening

Cleveland, OH • On-site, Remote

Full-time

Posted 5 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.
INDCORHP
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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