Senior Software Engineer Enterprise AI CW
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Job Location:
Palo Alto, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Senior Software Engineer - Enterprise AI - CW
Duration: 7months
Location: Palo Alto CA
Duration: 7months
Location: Palo Alto CA
About the Team
The Enterprise AI team is Rubriks internal AI enablement engine. We evaluate where AI can make a real difference build the platforms and patterns that make adoption easy and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI distributed systems and enterprise operations our job is to make client more efficient one AI-powered workflow at a time.
This is a high-impact high-autonomy team where youll work closely with engineering product and operations teams across Rubrik to bring AI capabilities to life.
This is a high-impact high-autonomy team where youll work closely with engineering product and operations teams across Rubrik to bring AI capabilities to life.
About the Role
Were hiring a Sr. Software Developer to design build and operate the platform and backend systems that power Rubrik at scale. Youll own core infrastructure from Kubernetes and cloud-native services to APIs and developer tooling and work closely with product AI and security teams. This is a hands-on high-ownership role where you write production code design systems lead code reviews and make the engineering organization more effective.
Were hiring a Sr. Software Developer to design build and operate the platform and backend systems that power Rubrik at scale. Youll own core infrastructure from Kubernetes and cloud-native services to APIs and developer tooling and work closely with product AI and security teams. This is a hands-on high-ownership role where you write production code design systems lead code reviews and make the engineering organization more effective.
What Youll Do
- Own end-to-end delivery of major platform initiatives from design through deployment and post-launch success.
- Own Kubernetes at depth clusters networking operators container lifecycle and
- multi-tenant orchestration.
- Design develop and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale reliability and performance.
- Drive engineering excellence through code quality standards design reviews automation and CI/CD best practices.
- Collaborate across teams Product AI and Security to align architecture with business objectives.
- Be a mentor and multiplier guiding engineers through architecture decisions trade-offs and delivery.
- Partner with leadership to align engineering strategy with product objectives and technical roadmap.
What Were Looking For
- 6 years of software engineering with deep backend and infrastructure focus.
- Strong programming skills in Python and/or Go you ship production code not just scripts and configs.
- Deep hands-on Kubernetes experience building and operating clusters not just deploying to them.
- Proven experience designing and operating distributed systems in production.
- Cloud-native fluency across AWS and/or GCP compute storage IAM networking and managed services.
- Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
- Familiarity with applied AI tooling and patterns agentic AI tools (Claude LiteLLM) AI gateways agent frameworks and being able to build backend services that integrate with them.
- Strong system design and architectural judgment.
- Clear communicator who partners well across product security and AI teams.
Nice to Have
- Observability stacks Prometheus Grafana Datadog OpenTelemetry.
- Multi-cloud or hybrid infrastructure experience (AWS GCP on-prem).
- Familiarity with API gateways AI gateways and policy/authorization frameworks (ABAC OPA).
- Service mesh or platform-as-a-service design experience.
- Track record of improving engineering productivity at scale.
- Senior Software Engineer - Enterprise AI - CW
