What You'll Do
Build backend services, APIs, integrations and data pipelines using Go and Python.
Own scoped features and improvements through implementation, testing and deployment.
Work with cloud-native systems, Kubernetes and containers.
Write maintainable code, automated tests, and participate in code and design reviews.
Debug software issues, identify root causes and implement reliable fixes.
Contribute to CI/CD, observability and production operations.
Use AI development tools for implementation, testing, debugging and code exploration while understanding and validating the resulting work.
What We're Looking For
1–2 years of professional software engineering experience, primarily in backend development.
Programming experience with Go, Python or a similar backend language.
Good understanding of APIs, data structures, debugging, testing and version control.
Experience with REST APIs and relational databases.
Familiarity with cloud-native applications and distributed systems.
Experience with automated testing and modern development workflows.
Ability to break down technical problems, investigate issues and develop practical solutions.
Good communication skills and a strong engineering mindset.
Nice to Have
Familiarity with AWS, Kubernetes, Docker, Terraform or PostgreSQL.
Experience with asynchronous processing, queues or event-driven systems.
Experience building data-processing or integration services.
Familiarity with gRPC or service-to-service APIs.
Exposure to multi-tenant SaaS applications or external cloud and SaaS integrations.
Experience working with AI/ML platforms, APIs or related data.
What Success Looks Like
You deliver reliable, well-tested features with increasing independence.
You understand how your changes fit into the broader system and architecture.
You troubleshoot issues methodically and implement durable solutions.
Your code is clear, maintainable and consistent with established engineering practices.
You apply feedback and production experience to strengthen your technical judgment.
How We Work
We value engineers who are curious, pragmatic, low-ego and accountable. We favor clear ownership, simple designs, incremental delivery and automation over unnecessary process.
We believe AI should amplify engineering judgment, not replace it. Every engineer remains responsible for understanding, validating and owning the software they deliver.
Flexera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.
Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.
We encourage candidates requiring accommodations to please let us know by emailing careers@flexera.com.
