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AI Summary

Build and maintain cloud-native, data-intensive backend services, APIs, and data pipelines using Go and Python. Contribute to the full software development lifecycle, including testing, deployment, debugging, and the effective use of AI-assisted development tools.

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud.

We’re transforming the software industry.  We’re Flexera.  With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team.  Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans?  Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com

Software Engineer


About the Role


We are looking for a Software Engineer to build cloud-native, data-intensive systems across backend services, APIs, integrations and data pipelines.

We are adopting AI-assisted development across our engineering workflow and expect you to use these tools effectively while building strong engineering judgment.


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.

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