Software Engineer, Agentic Data Plane

Our client is seeking Software Engineers to design, build, and scale the foundational services powering their Agentic Data Plane (ADP)—a next-generation AI infrastructure that connects AI agents with enterprise data in real time.

As a member of a newly formed Warsaw-based ADP team , you will collaborate with cloud and ADP peers across Europe and the US to ship critical components built on our client's core Serverless, Bring Your Own Cloud, and high-performance data integration offerings. This role blends hands-on feature development with operational ownership, helping maintain a 99.99% SLA while working cross-functionally across Cloud, Core, and Platform engineering teams.

Work Model: This is a hybrid position based out of the Warsaw office (minimum of 3 days per week on-site).

What You Will Do

• Design, build, and operate control plane and data plane features across AWS, GCP, and Azure.

• Translate complex product requirements into robust, clear technical specifications and architecture.

• Take full ownership of tasks from initial design to production delivery, proactively identifying and mitigating technical risks along the way.

• Maintain an exceptionally high bar for system performance, security, and scalability. Build deep observability and resilience into cloud services to support enterprise-grade workloads.

• Join the engineering on-call rotation, actively contributing to reducing incident frequencies and optimizing long-term platform reliability.

What You Bring

• 3+ years of experience developing, scaling, and operating live production services within major public cloud ecosystems.

• High proficiency in Go .

• Direct experience leveraging AI-assisted development tooling (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate delivery.

• Working familiarity with at least one major cloud provider (AWS, GCP, or Azure), including Infrastructure as Code (IaC) for networking and system setup.

• Exceptional written and verbal English communication skills, with a high comfort level operating in an asynchronous, documentation-first culture across Slack, GitHub, and docs.

Nice-to-Haves

• Hands-on experience with Kubernetes .

• Prior experience building, launching, or maintaining large-scale SaaS platforms .

• Familiarity with data streaming infrastructure (either as an engineer building the tools or an advanced user utilizing them).