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Fulltime Github Software Engineer Jobs in Cincinnati, OH

Job Summary We are seeking a highly experienced, AI-forward Senior Software Engineer to modernize ... Use tools such as Claude Code and GitHub Copilot to improve engineering productivity. * Evaluate AI ...

Medpace is a full-service clinical contract research organization (CRO) looking for a full-time, ... Preferred : • Prior experience using Entity Framework, GitHub, SQL/NoSQL is a plus. • ...

Cyber Software Engineer

Cincinnati, OH · On-site

$91K - $137K/yr

This is mind blowing." We are seeking cleared or clearable mid-level Software Engineers who are ... GitHub, GitLab) and CI/CD workflows using tools such as Jenkins, GitHub Actions, and GitLab CI ...

Cyber Software Engineer

Cincinnati, OH · On-site

$91K - $137K/yr

This is mind blowing." We are seeking cleared mid-level Software Engineers who are selfmotivated ... GitHub, GitLab) and CI/CD workflows using tools such as Jenkins, GitHub Actions, and GitLab CI.

Job Summary Medpace's Information Technology team is looking for a full-time, office-based Software ... GitHub. * Experience with software development life cycle (SDLC) including release management.

The Lead Software Engineer will modernize and support Medpace's internal systems by leading ... Entity Framework, GitHub, SQL/NoSQL • Experience using variety of development architectures ...

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Showing results 1-20

Fulltime Github Software Engineer information

See Cincinnati, OH salary details

$60.9K

$141.5K

$197.2K

How much do fulltime github software engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for fulltime github software engineer in Cincinnati, OH is $141,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $166,000.00 per year, depending on experience, location, and employer.

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For Fulltime Github Software Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Fulltime Github Software Engineer jobs in Cincinnati, OH look for?

The top searched job categories for Fulltime Github Software Engineer jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Fulltime Github Software Engineer jobs?

Cities near Cincinnati, OH with the most Fulltime Github Software Engineer job openings:

Infographic showing various Fulltime Github Software Engineer job openings in Cincinnati, OH as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $141,545 per year, or $68.1 per hour.

Senior Software Engineer

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Posted 14 days ago


Job description

Job Summary
We are seeking a highly experienced, AI-forward Senior Software Engineer to modernize enterprise applications and help transform software engineering practices across the organization.
The ideal candidate is a hands-on senior developer with strong Java/Spring Boot, Vue.js, cloud-native engineering, and AI-assisted development experience. The candidate should be comfortable working across large, polyglot codebases and adopting modern engineering practices.
Key Responsibilities
  • Design, develop, test, troubleshoot, and maintain cloud-native enterprise applications.
  • Build backend applications and services using Java and Spring Boot.
  • Develop and contribute to modern front-end applications using Vue.js.
  • Work effectively across large, existing, polyglot codebases.
  • Apply AI-assisted engineering techniques throughout the software development lifecycle.
  • Use tools such as Claude Code and GitHub Copilot to improve engineering productivity.
  • Evaluate AI development tools and establish appropriate standards and guardrails.
  • Leverage AI for codebase analysis, development, testing, debugging, documentation, refactoring, and research.
  • Partner with architects and engineering leaders on architectural patterns and implementation standards.
  • Champion TDD, pair programming, continuous feedback, and Extreme Programming practices.
  • Diagnose complex production issues using logs, metrics, messaging systems, databases, and application behavior.
  • Develop and maintain automated CI/CD pipelines.
  • Mentor engineers and introduce improved development techniques.
  • Break complex engineering problems into actionable work.
  • Collaborate with business, architecture, development, QA, and operations teams.
  • Promote experimentation, continuous improvement, and responsible AI adoption.

Required Technology
  • Java
  • Spring Boot
  • Vue.js
  • Git/GitHub
  • Automated unit and acceptance testing
  • Relational and NoSQL databases
  • Cloud-native application development

Preferred / Valuable Technology
  • Claude Code
  • GitHub Copilot / Copilot CLI
  • .NET 8+
  • Python
  • Redis
  • RabbitMQ
  • GitHub Actions
  • Kubernetes
  • Azure
  • Tanzu Application Service / Pivotal Cloud Foundry
  • Other cloud-native application platforms

Ideal Candidate
The successful candidate must remain a hands-on engineer despite their seniority. They should be able to enter unfamiliar systems, quickly understand existing architecture and code, identify the right questions, collaborate with existing teams, and begin delivering value with limited direction.
Candidates should be able to demonstrate how AI has materially improved their engineering workflow, rather than simply listing AI tools on their resume.
Required Technology
  • Java
  • Spring Boot
  • Vue.js
  • Git/GitHub
  • Automated unit and acceptance testing
  • Relational and NoSQL databases
  • Cloud-native application development

Preferred / Valuable Technology
  • Claude Code
  • GitHub Copilot / Copilot CLI
  • .NET 8+
  • Python
  • Redis
  • RabbitMQ
  • GitHub Actions
  • Kubernetes
  • Azure
  • Tanzu Application Service / Pivotal Cloud Foundry
  • Other cloud-native application platforms

Ideal Candidate
The successful candidate must remain a hands-on engineer despite their seniority. They should be able to enter unfamiliar systems, quickly understand existing architecture and code, identify the right questions, collaborate with existing teams, and begin delivering value with limited direction.
Candidates should be able to demonstrate how AI has materially improved their engineering workflow, rather than simply listing AI tools on their resume.