Senior Software Engineer - Enterprise AI

Overview

Senior Software Engineer on the Enterprise AI team, building the platforms and backend systems that power Rubrik's internal AI enablement at scale.

What you'll do

• Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
• Own Kubernetes at depth, including 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'll need

• 9+ years of software engineering with a deep backend and infrastructure focus.
• Strong programming skills in Python and/or Go, shipping production code.
• Deep, hands-on Kubernetes experience, building and operating clusters.
• Proven experience designing and operating distributed systems in production.
• Cloud-native fluency across AWS and/or GCP, including 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, such as agentic AI tools (Claude, LiteLLM), AI gateways, and agent frameworks, and ability 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 such as Prometheus, Grafana, Datadog, or 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.