Genesys
Posted 1mo ago

Senior Software Engineer (Python)

Genesys
Budapest, Hungary
HybridFull Time
Responsibilities
  • developing microservices
  • optimizing infrastructure
  • mentoring teams
Requirements
  • 5+ years software engineering experience
  • Strong Python skills
  • Experience building microservices and distributed systems
  • Cloud experience (AWS preferred
  • Azure a plus)
  • CI/CD and automation familiarity
  • Strong communication
Technical tools mentioned
PythonTypeScriptAWSAzureZoomGenesys Cloud

Job description

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.


Are you passionate about automation and building robust backend solutions that drive success? Do you want to work on microservices that empower CI/CD processes and support the scalability of cutting-edge cloud infrastructure? At Genesys, we’re looking for a Senior Software Engineer to join our dynamic team, pushing the boundaries of automation, scalability, and innovation.

Why Join Us?

At Genesys, we’re more than just a team—we’re a collaborative group of problem solvers and technical enthusiasts. Our engineers thrive on overcoming complex design challenges, ensuring reliability, and building high-performance backend systems that support development and deployment for global services. You’ll work alongside people who share your passion for automation, microservices architecture, and backend excellence.

What You’ll Do:

  • Develop Microservices for CI/CD: Design and implement backend microservices in Python / TypeScript that support and streamline CI/CD pipelines, enabling seamless, scalable deployment processes.
  • Optimize and Enhance CI/CD Infrastructure: Build systems and APIs that automate deployment and testing environments, enhancing speed and reliability across the development lifecycle.
  • Ensure High-Availability and Reliability: Monitor, maintain, and optimize backend services for high performance, contributing to the reliability and uptime of distributed systems.
  • Collaborate and Mentor: Work closely with cross-functional teams to support CI/CD initiatives and share your expertise, fostering growth within the team.

Who You Are:

  • You have 5+ years of experience in software engineering, ideally with expertise in developing microservices and distributed systems.
  • Proficient in Python, with a focus on building scalable backend applications and automation tools.
  • You have experience working with cloud-based technologies (AWS preferred; Azure experience a bonus) and a passion for supporting development teams with robust backend solutions.
  • Familiar with CI/CD processes and automation, and comfortable with tools that support continuous integration and deployment pipelines.
  • You’re skilled at diagnosing and resolving complex issues, with a mindset toward continuous improvement in both processes and technical solutions.
  • You communicate technical concepts effectively to both technical and non-technical stakeholders and believe in a collaborative, team-oriented approach to problem-solving.

What We’re Looking For:

  • Proven experience in designing and implementing microservices architectures in a CI/CD environment.
  • Solid background in cloud infrastructure and high-performance backend systems.
  • Familiarity with distributed systems and the challenges of scaling complex backend applications.
  • Knowledge of Agile methodologies and a drive to apply best practices for automation, CI/CD, and backend development in day-to-day work.

#LI-MC1


Working at Genesys

  • AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
  • A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
  • Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
  • Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
  • Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.


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.


Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.


Be the one building what's next - where AI, experience and impact come together.


Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.


About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.


Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at [email protected].


You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

 

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.


Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.


Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

About Genesys

Provides AI-powered cloud platform for customer and employee experiences.

Year founded
1990
Employees
6000
Organization type
Private
Latest investment
Raised $580.00M Corporate Round (2021) — led by Salesforce Ventures, BlackRock, D1 Capital Partners
Headquarters
US

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