Software Engineer

Be the one building AI-powered experiences where they matter most.   At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.   Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. SOFTWARE ENGINEER Are you passionate about automation and building reliable backend solutions? Do you want to grow your skills on microservices that power CI/CD processes and cloud infrastructure at scale? At Genesys, we're looking for a Software Engineer to join our platform team and help drive automation, scalability, and developer experience — using both strong engineering fundamentals and modern AI-assisted development practices. Why Join Us? At Genesys, we're a collaborative group of problem solvers and technical enthusiasts. You'll be embedded in a team where senior engineers invest in your growth, and where your contributions have real impact on global CI/CD infrastructure. You'll learn alongside people who care about automation, microservices architecture, backend excellence, and using the latest AI-powered tooling to build faster and better. Location : Hybrid working model from either Durham (North Carolina) or Indianapolis (Indiana) office.

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.

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.

Demonstrated experience building and maintaining microservices in a CI/CD context. Practical knowledge of cloud infrastructure and backend system development. Understanding of distributed