Rubrik: Senior AI API Platform Engineer — Bangalore, India

About Rubrik

Rubrik provides data-security and resilience technology for organisations facing cyberattacks, malicious activity and operational disruption. Its recruitment material discusses protecting enterprise information, including data held in business software and cloud environments. The described portfolio includes security and protection for SaaS applications, with attention to access, backup and recovery. Its business connects the technical handling of information with an organisation's ability to keep critical data protected and to recover when normal operations are disrupted.

The position and its setting

Rubrik lists Senior AI API Platform Engineer in Bangalore, India, under reference 8273808. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Information Technology & Services
• Employer listing date: 21 October 2026

Responsibilities and work described

• The AI API Platform Engineer is a hands-on technical lead who designs and builds the APIs and platform capabilities powering Rubrik's AI-driven products and automation, owning the full API lifecycle across any stack, cloud, or iPaaS
• This role delivers secure, scalable, high-performance APIs and full-stack services while enabling AI-native consumption patterns across the enterprise
• Design: and own APIs in any tech stack - REST, GraphQL, gRPC, and webhooks - choosing the right language, cloud service, or iPaaS for each use case
• Building: for AI use cases, exposing data/services as tools for LLMs and AI agents, and enabling RAG and agentic workflows
• Own core backend engineering in Node.js / Java / Python / Go, with data modeling and performance tuning
• Define API governance - versioning, documentation standards, and reusable auth/error-handling/observability frameworks
• Delivery: technical leadership through design reviews, code reviews, and mentoring of engineers
• Define NFRs and SLAs for availability, latency, throughput, and reliability, and ensure designs meet them
• Partner with security and compliance to meet regulatory and audit requirements across APIs and integrations
• Leadership: technical discovery for new API, integration, and AI-enablement initiatives with product and business stakeholders
• Drive reuse and standardizatio n 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

Essential requirements and candidate background

• 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 role, working directly with internal customers
• Deep API expertise across REST, including contract-first design (OpenAPI/Swagger) and robust error handling
• Backend and full-stack skills in Node.js / Java / Python / 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
• 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 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 / 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
• Knowledge: DevOps practices and toolchains
• Experience: the 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
• Knowledge: AI/LLM frameworks (OpenAI, Anthropic, LangChain) and vector databases, and how they integrate with enterprise APIs
• Understanding: 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

Preferred experience and additional strengths

• Cloud or iPaaS certifications (AWS/Azure/GCP, MuleSoft, Workato, or Boomi)
• Experience: regulated environments (SOX, FedRAMP) with auditability and change control
• Familiarity: event-driven/streaming platforms (Kafka, EventBridge, Event Hubs)
• Hands-on exposure to AI agents, copilots, or LLM-powered features in production

Location, schedule and contract conditions

• Advertised location: Bangalore, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior AI API Platform Engineer vacancy is not an offer for reference 8273808; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Rubrik

Applications follow the official employer page linked below.

Open the official Rubrik posting below and match the title and reference 8273808.

Compare your qualifications and experience with the essential conditions for the Bangalore, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• SQL
• NoSQL
• Kafka
• Kubernetes
• CI/CD
• AWS
• GCP
• Azure
• REST APIs
• APIs
• AI/ML
• LLMs
• NetSuite
• Salesforce
• Node.js
• Google Cloud