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Staff Software Engineer Full Stack Developer Jobs in North Ridgeville, OH

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Staff Software Engineer Full Stack Developer information

See North Ridgeville, OH salary details

$21

$52

$75

How much do staff software engineer full stack developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for staff software engineer full stack developer in North Ridgeville, OH is $52.33, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $60.29 per hour, depending on experience, location, and employer.

How does a Staff Software Engineer Full Stack Developer typically collaborate with cross-functional teams on large-scale projects?

As a Staff Software Engineer Full Stack Developer, you will frequently work alongside product managers, UX/UI designers, QA engineers, and other developers to deliver end-to-end solutions. Collaboration often involves participating in architectural discussions, providing technical leadership, and ensuring that both front-end and back-end components integrate seamlessly. You may also mentor junior engineers, help break down complex tasks, and facilitate communication across teams to align on project goals and timelines. This collaborative environment encourages continuous learning and fosters a strong sense of ownership over the product.

What is the difference between Staff Software Engineer Full Stack Developer vs Senior Software Engineer?

AspectStaff Software Engineer Full Stack DeveloperSenior Software Engineer
CredentialsBachelor's/Master's in CS or related field, extensive experienceBachelor's/Master's in CS or related field, 3-5 years experience
Work EnvironmentLeads projects, designs architecture, mentors teamsDevelops features, fixes bugs, collaborates with teams
Industry UsageCommon in tech companies, startups, large enterprisesWidely used across industries, entry to mid-level seniority

The Staff Software Engineer Full Stack Developer typically has more leadership responsibilities, oversees architecture, and mentors teams, whereas the Senior Software Engineer focuses on developing features and solving technical problems. Both roles require strong technical skills, but the Staff role involves broader strategic input and project oversight.

What are the key skills and qualifications needed to thrive as a Staff Software Engineer Full Stack Developer?

To thrive as a Staff Software Engineer Full Stack Developer, you need advanced expertise in both front-end and back-end development, strong problem-solving abilities, and a bachelor's degree or higher in computer science or a related field. Mastery of programming languages (such as JavaScript, Python, or Java), frameworks (like React and Node.js), cloud platforms, and familiarity with CI/CD tools is typically required. Leadership, effective communication, and collaboration are standout soft skills for guiding teams and managing complex projects. These technical and interpersonal skills are vital for delivering robust software solutions, mentoring peers, and driving innovation within an organization.

What is a Staff Software Engineer Full Stack Developer?

A Staff Software Engineer Full Stack Developer is a senior engineering professional who designs, develops, and maintains both the front-end and back-end components of software applications. This role typically involves leading technical projects, mentoring other engineers, and making key architectural decisions. Staff-level engineers are expected to have deep expertise in multiple technologies, strong problem-solving skills, and the ability to drive innovation across teams. They often collaborate closely with product managers, designers, and other stakeholders to deliver high-quality software solutions.
What cities near North Ridgeville, OH are hiring for Staff Software Engineer Full Stack Developer jobs? Cities near North Ridgeville, OH with the most Staff Software Engineer Full Stack Developer job openings:
Infographic showing various Staff Software Engineer Full Stack Developer job openings in North Ridgeville, OH as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $108,837 per year, or $52.3 per hour.

$118K - $156K/yr

Full-time

Re-posted 15 days ago


Job description

Senior Software Engineer — Claims Platform

Works intensely across all phases of software delivery — conceptual design, detailed design, implementation, testing, and production deployment — on a large-scale enterprise insurance claims platform. Leads internal architecture discussions, collaborates closely with business analysts to clarify requirements and define technical deliverables, and contributes to the strategic direction of the software. Maintains current knowledge of market trends including AI/ML and cloud-native patterns.


  • Architected and delivered a multi-tier microservices platform for enterprise insurance claims processing, spanning 30+ ASP.NET Core Web APIs organized across distinct Experience, Process, and System service layers to enforce separation of concerns and independent deployability
  • Built full-stack Blazor WebAssembly applications (MudBlazor, Fluxor/Redux state management, FluentValidation) and React SPAs for claims management portals serving adjusters, TPA users, and management teams
  • Wrote intermediate to advanced T-SQL queries, stored procedures, and schema designs across multiple MSSQL databases; applied service-oriented architecture patterns throughout the platform
  • Drove DevOps maturity through Azure DevOps CI/CD pipelines, Docker containerization, and environment-stratified configuration management (Dev → UserTest → Production)
  • Conducted regular code reviews to enforce quality standards, identify design issues early, and grow technical capability across the team; contributed to defining and documenting coding conventions adopted platform-wide
  • Mentored junior and mid-level engineers through pair programming and architectural guidance; developed GitHub Copilot onboarding guides and AI usage standards for developers and business analysts

Additional Experience (Nice to Have):

  • Designed and built a custom agentic AI workflow engine enabling configurable, multi-step AI reasoning pipelines — supporting tool execution, memory scoping, verification steps, and structured output — without hardcoded orchestration logic; applied across claims triage, coverage determination, and document analysis
  • Built and maintained a Retrieval-Augmented Generation (RAG) service backed by Azure AI Search, powering AI-assisted features including compensability and coverage determination workflows, document data extraction, photo analysis, and automated notes summarization using Azure OpenAI