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Senior Backend Engineer - Anywhere Cloud

Cloudera•San Jose, CA
•$152,000 - $190,000•Remote
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About The Position

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Ready to take cloud innovation to the next level? Join Cloudera’s Anywhere Cloud team and help deliver a true “build your own pipeline, bring your own engine” experience. enabling data and AI workloads to run anywhere, without friction or vendor lock-in. We take the best of the public cloud- cost efficiency, scalability, elasticity, and agility and extend it to wherever data lives: public clouds, private data centers, and even the edge. Powered by Kubernetes, our hybrid architecture separates compute and storage, giving customers maximum flexibility and optimized infrastructure usage. We are looking for a Senior Backend Engineer to build and own backend services for the Anywhere Cloud (AWC) platform. AWC is a Kubernetes-native cloud management platform that provisions and manages clusters across Cloud Providers and On Premise. You will work in Go, building services that run on Kubernetes, and collaborate closely with engineers working on operators, auth, platform infrastructure, and the frontend console. This is a hands-on IC role where you ship production code, design service APIs, and solve real distributed systems problems in a team that moves fast and keeps things simple.

Requirements

  • 5+ years of professional software engineering experience shipping production backend systems.
  • Strong day-to-day Go skills. You have built and maintained Go services in production, not just written scripts or CLIs.
  • You understand how Kubernetes works from an application developer perspective: pods, services, deployments, CRDs, RBAC. You have deployed services to Kubernetes clusters and debugged issues in that environment.
  • Experience building and maintaining REST APIs. Comfort with request validation, middleware patterns, error handling, and versioning.
  • Comfortable writing SQL, designing schemas, and managing migrations against PostgreSQL or similar.
  • You can take a loosely-defined problem, break it down, and ship a working solution without constant direction. You ask questions when stuck, not when uncertain.

Nice To Haves

  • Experience building operators or controllers using controller-runtime/kubebuilder. Understanding of reconciliation loops and CRD design.
  • Experience authoring and maintaining Helm charts for complex multi-service deployments.
  • Familiarity with OIDC, SAML, mTLS, or credential-brokering patterns (SigV4, token exchange).
  • Hands-on experience with AWS or GCP APIs (IAM, S3, networking).
  • Comfort with Bazel, Make, or similar build tooling in a monorepo or multi-repo setup.
  • Experience instrumenting services with structured logging (slog), metrics, or distributed tracing.

Responsibilities

  • Design and build Go microservices (REST APIs via Echo, Kubernetes controllers via controller-runtime) that power the AWC console and platform layer. Services include cluster lifecycle management, app deployment, authentication, and credential brokering.
  • Build operators, controllers, and jobs that run on Kubernetes. Work with Helm charts, CRDs, and the Kubernetes API directly. Understand pod lifecycle, RBAC, and service mesh (Istio) patterns.
  • Integrate with internal platform components (CCF/Taikun provisioning API, Knox for secrets, cert-manager for TLS, Proxinator for credential indirection) and external cloud provider APIs (AWS S3/IAM, GCP).
  • Design schemas and write migrations (golang-migrate, PostgreSQL). Own data consistency for services that manage cluster state, marketplace metadata, and deployment records.
  • Write unit and integration tests. Contribute to system-level test infrastructure. Validate changes against real clusters, not just mocks.

Benefits

  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

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