Sr Software Engineer - Enterprise AI

Job Summary

The Enterprise AI team is Rubrik s 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 Rubrik more efficient, one AI-powered workflow at a time.

This is a high-impact, high-autonomy team where you ll work closely with engineering, product and operations teams across Rubrik to bring AI capabilities to life.

We re hiring a Sr. Software Engineer to design, build, and operate the platform and backend systems that power Rubrik at scale. You ll 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.

Key Responsibilities

• 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 You Bring (Qualifications)

Required

• 9+ 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.

Preferred

• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.