Backend Infrastructure Engineer

FELDERA, INC.
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) User Authentication C++ (Programming Language) Cloud Computing Computer Programming Software Debugging Linux Distributed Systems Federal Information Processing Standards (FIPS) Network Control Single Sign-On Web Services
+8 more
Delivery Pipeline Backend Containerization Kubernetes Cloud Integration Api Design Data Pipelines Docker

Job description

We’re looking for a Rust backend engineer to own and evolve the core Feldera control plane and the Kubernetes layer that runs them. You’ll design and build the APIs and services that customers depend on to deploy, manage, and scale feldera data pipelines, and you’ll lead the enterprise-grade capabilities - authentication, SSO, multi-tenancy, and cloud integration - that let large organizations adopt Feldera securely on their own infrastructure., * Control plane engineering: Own and evolve the control-plane services that orchestrate pipelines across diverse customer environments.

  • Kubernetes platform: evolve the Kubernetes layer that runs Feldera pipelines reliably, including resource management and self-hosted deployment workflows.
  • Enterprise readiness: Build and harden capabilities to support security, isolation, and access-control needs of large enterprises.
  • Cloud & self-hosted deployment: Develop the capabilities that let customers run Feldera across environments, from single-node laptops to multi-node clusters, on their own infrastructure.
  • API design: Design clean, stable, well-documented APIs for the control plane that internal teams and customers build workflows against.
  • Reliability & operability: Make the control plane observable, debuggable, and resilient at scale.
  • Troubleshooting: Debug complex distributed-systems issues across the control plane and Kubernetes layer., * Fully remote. Distributed across the U.S. and abroad. We hire for timezone overlap, not location.
  • Flat organization with high autonomy, ownership and asynchronous collaboration. You’ll work directly alongside the founders.
  • Fast and honest. We move quickly, decide based on evidence, course-correct openly, and expect you to do the same.
  • Rewarded for impact, not tenure. We recognize what you ship, the outcomes it drives, and how much you raise the team’s ceiling.

Requirements

  • Strong proficiency in Rust or strong systems-programming experience in a comparable language (C++, Go) with a demonstrated ability to ramp quickly on Rust.
  • Experience building backend services, APIs, and distributed systems in production.
  • Hands-on experience with Kubernetes - building on top of it, writing controllers/operators, or designing services that run reliably within it.
  • Familiarity with authentication, SSO, and multi-tenancy, compliance standards (FIPS etc.), and the security considerations of enterprise/self-hosted software.
  • Solid Linux fundamentals and comfort operating in containerized environments (Docker).
  • Strong troubleshooting skills and the ability to debug complex distributed-systems issues.
  • Self-directed with excellent communication skills and the ability to work effectively in a remote team.

Candidates must have authorization to work in their country of residence. We are unable to sponsor employment visas at this time.

Benefits & conditions

  • Competitive salary & meaningful equity
  • Medical, dental & vision - 90% of premiums covered by Feldera
  • HSA & FSA
  • 401(k)
  • Fully remote

About the company

Feldera is redefining how engineers compute over changing data. Powered by an award-winning breakthrough in database theory (DBSP), our platform incrementally maintains even the most complex SQL views as data changes, even when pipelines have hundreds of joins, aggregates, unions, and even recursion. It has allowed leading enterprises to have always-on real-time insights over both live and historical data, with 10x lower cost and 100x faster time-to-production.

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