Memeber Technical Staff - AI-Augmented

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 Blueprinttrade mark in hybrid environments-from on-premises to SaaS to containers to cloud.

Were transforming the software industry. Were Flexera. Withmore than 50,000 customersacross the world, were achievingthat goal.Butwe knowwe cant 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 whywere consistently recognized by Gartner, Forrester and IDCas a category leader in the marketplace.Learn more atflexera.com

About the Role

We are looking for a Member of Technical Staff to design, build and operate cloud-native, data-intensive systems. You will own production capabilities end to end, working across backend services, APIs, integrations and data pipelines.

We are also adopting AI-assisted development across our engineering workflow and expect you to use these tools effectively while maintaining high standards for quality, security and maintainability.

What Youll Do

• . Design and build backend services, APIs, integrations and data pipelines using Go and Python.
• . Own features and technical improvements from design through implementation, deployment and production support.
• . Build reliable software for distributed, cloud-native and data-intensive systems.
• . Work with Kubernetes, containers and cloud infrastructure.
• . Write well-tested, maintainable code and participate actively in design and code reviews.
• . Diagnose production issues, identify root causes and implement durable fixes.
• . Use modern AI development tools across implementation, testing, debugging and code exploration, while taking responsibility for the resulting code.
• . Contribute to technical decisions and identify opportunities to simplify systems and improve engineering practices.

What Were Looking For

• . Strong professional experience of 6-9 years building and operating backend software in production.
• . Strong programming skills in Go, Python or both.
• . Experience building APIs, distributed services and data-processing systems.
• . Experience with cloud-native architectures, Kubernetes and containers.
• . Experience with relational databases and sound data-modeling practices.
• . Understanding of asynchronous or event-driven systems and common distributed-system failure modes.
• . Strong fundamentals in automated testing, CI/CD, observability, security and production troubleshooting.
• . Ability to independently own substantial features and make sound technical decisions within a broader architecture.
• . Clear communication skills and the ability to work effectively with engineers across teams.

Nice to Have

• . Experience with high-volume data ingestion, processing or integration systems.
• . Experience with multi-tenant enterprise SaaS applications.
• . Familiarity with AWS, Terraform, PostgreSQL and modern analytical data platforms.
• . Experience integrating with external cloud or SaaS APIs.
• . Experience with metering, billing, usage or other consumption-oriented data.
• . Experience working with AI/ML platforms, APIs or related data.
• . Practical experience using AI development tools such as Claude Code, Codex, GitHub Copilot or Cursor.

What Success Looks Like

• . You independently deliver well-designed, production-ready capabilities.
• . The software you build is reliable, maintainable and easy for other engineers to understand and evolve.
• . You diagnose problems effectively and take ownership through resolution.
• . You contribute constructively to technical decisions and improve the systems around the work you own.
• . You use AI-assisted development to improve your effectiveness without compromising engineering quality.

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.

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