Software Engineer
Be the one building AI-powered experiences where they matter most.
SOFTWARE ENGINEER
Why Join Us?
Location
Durham (North Carolina)
Indianapolis (Indiana)
Candidates residing in these locations will be considered only.
What You'll Do
- Implement microservices for CI/CD: Build and maintain backend microservices in Python that support CI/CD pipelines, enabling reliable and scalable deployment processes.
- Contribute to CI/CD infrastructure: Develop APIs and automation components that improve deployment and testing environments, increasing speed and reliability across the development lifecycle.
- Support system reliability: Monitor and maintain backend services, investigate issues, and contribute to the availability and performance of distributed systems.
- Apply AI-assisted engineering practices: Use tools like Claude, Cursor, and Kiro to accelerate coding, code review, testing, and debugging — while applying sound engineering judgment about when AI output needs verification versus when it can be trusted as-is.
- Collaborate and grow: Work closely with cross-functional teams, participate in code reviews, and continuously develop your technical skills with support from senior engineers.
Who You Are
- You have 3–5 years of experience in software engineering, with exposure to microservices or distributed systems and production support/maintenance.
- Proficient in Python, with a focus on building backend applications and automation tooling.
- You have hands-on experience with cloud-based technologies (AWS preferred; Azure a bonus) and an interest in supporting development teams with robust backend solutions.
- Familiar with CI/CD concepts and comfortable working with pipelines, automation tools, and version control systems.
- You're methodical when diagnosing issues and have a continuous improvement mindset.
- You communicate clearly with teammates, ask good questions, and take ownership of your work while knowing when to escalate.
- You have practical, day-to-day experience using AI coding tools — such as Claude, Cursor, GitHub Copilot, or Kiro — for writing, reviewing, refactoring, or debugging code, and you apply them with critical judgment. You know when AI output needs verification, when it's a shortcut worth taking, and when it's not the right tool at all.
- You've worked with or are curious about agentic workflows (multi-step, tool-using AI agents that plan and execute tasks) and understand how they differ from single-shot AI code completion.
What We're Looking For
- Demonstrated experience building and maintaining microservices in a CI/CD context.
- Practical knowledge of cloud infrastructure and backend system development.
- Understanding of distributed systems fundamentals and the challenges of scaling backend applications.
- Familiarity with Agile methodologies and a commitment to applying best practices in automation and CI/CD.
- Hands-on experience with AI-assisted development tools and agentic coding workflows, including any of the following: AI pair-programming / coding assistants (e.g., Claude, Cursor, GitHub Copilot, Kiro) Agentic development flows — using AI agents to plan, execute, and iterate on multi-step engineering tasks (e.g., scaffolding services, writing tests, running builds, opening PRs) Prompt engineering for code generation, review, and documentation Evaluating and validating AI-generated code for correctness, security, and maintainability before it ships
- A clear-eyed approach to AI in engineering: leveraging it where it genuinely adds value and speed, while maintaining full engineering rigor and accountability for the output.
- Willingness to learn, take feedback, and grow toward taking on broader scope over time.
#LI-Hybrid #LI-DNP
Compensation:
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.
$89,900.00 - $158,100.00
Benefits
- Medical, Dental, and Vision Insurance.
- Telehealth coverage
- Flexible work schedules and work from home opportunities
- Development and career growth opportunities
- Open Time Off in addition to 10 paid holidays
- 401(k) matching program
- Adoption Assistance
- Fertility treatments
Click here to view a summary overview of our Benefits.
Working at Genesys
AI at enterprise scale
A flexible-first culture
Growth in the AI era
Time to recharge and give back
Recognized globally
What Happens After You Apply
After you apply, here's what you can typically expect:
- Our Talent Acquisition team reviews your application with the hiring team.
- A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
- Next, you'll meet the hiring manager and other members of the interview team.
- We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.
- After interviews are complete, our team will follow up with the final steps.
Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
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Who can apply
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