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Rubrik is seeking a Senior AI API Platform Engineer to design and build the APIs and platform capabilities powering its AI-driven products and automation. This is a hands-on technical leadership role owning the full API lifecycle across any stack, cloud, or iPaaS.
Key Responsibilities:
- Design and own APIs across REST, GraphQL, gRPC, and webhooks, selecting the right language, cloud service, or iPaaS for each use case
- Build APIs for AI consumption, exposing data and services as tools for LLMs and AI agents, enabling RAG and agentic workflows
- Own core backend engineering in Node.js, Java, Python, or Go with strong data modeling and performance tuning
- Define API governance including versioning, documentation standards, and reusable auth/error-handling/observability frameworks
- Provide technical leadership through design reviews, code reviews, and mentoring of engineers
- Define NFRs and SLAs for availability, latency, throughput, and reliability, ensuring designs meet them
- Partner with security and compliance to meet regulatory and audit requirements across APIs and integrations
- Lead technical discovery for new API, integration, and AI-enablement initiatives with product and business stakeholders
- Drive reuse and standardization through shared APIs, connectors, SDKs, and an integration catalog
- Evaluate emerging patterns (event-driven integration, AI agent frameworks, low-code automation) to shape the platform roadmap
About Rubrik:
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy, and undoing agentic mistakes.
Requirements:
- 8+ years of software engineering experience, with 5+ years in API/full-stack/backend development across multiple languages and clouds
- 2+ years in a senior/lead/architect capacity owning API and platform designs for complex, enterprise-scale systems
- 1+ years in an FDE (Foundational Data Engineering) role, working directly with internal customers
- Deep API expertise across REST, including contract-first design (OpenAPI/Swagger) and robust error handling
- Strong backend and full-stack skills in Node.js, Java, Python, or Go, plus platform-agnostic experience across cloud and iPaaS (MuleSoft, Workato, Boomi)
- Cloud-native development on AWS, Azure, or GCP, including serverless, Kubernetes, and infrastructure as code
- Strong data skills: SQL and NoSQL database design, plus integration data formats (JSON, XML, CSV)
- Secure API design using OAuth 2.0/OIDC, mTLS, and secrets management, with solid CI/CD and Git-based workflows
- SaaS integration experience with platforms such as NetSuite, Workday, Salesforce, or Snowflake
- API Gateway expertise with platforms such as Kong, Apigee, AWS API Gateway, Azure APIM, or MuleSoft API Gateway for routing, rate limiting, and policy enforcement
- API testing proficiency using tools such as Postman for functional and regression testing
- Networking fundamentals, including VPN/VPC concepts
- Working knowledge of DevOps practices and toolchains
- Hands-on experience with AI-assisted SDLC: using AI tools to design, build, test, and manage APIs
- Experience building APIs for AI consumption, including function/tool-calling interfaces for LLMs and agents
- Working knowledge of AI/LLM frameworks (OpenAI, Anthropic, LangChain) and vector databases, and how they integrate with enterprise APIs
- Understanding of AI-specific NFRs: latency, cost, rate limiting, and safety/guardrails
- Practical experience with AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) for AI-assisted platform and infrastructure development
- Proven ability to lead without authority, driving technical decisions through clarity and data
- Excellent communication skills, presenting solutions and trade-offs to technical and business stakeholders
Preferred Qualifications:
- Cloud or iPaaS certifications (AWS/Azure/GCP, MuleSoft, Workato, or Boomi)
- Experience in regulated environments (SOX, FedRAMP) with strong auditability and change control
- Familiarity with event-driven/streaming platforms (Kafka, EventBridge, Event Hubs)
- Hands-on exposure to AI agents, copilots, or LLM-powered features in production
