Senior Integration and Automation Engineer

Rubrik sells data security and cyber resilience software, and this role owns the API and integration architecture for its internal enterprise systems. You would define API led patterns across experience, process and system APIs, build reference architectures and standards for how systems integrate, and design RESTful APIs with clear contracts, documentation and service level agreements. The integration surface named is a familiar enterprise set: NetSuite, Workday, Salesforce, Snowflake and ServiceNow across SaaS and on premises. What makes the posting more current than most integration roles is a whole section on AI: identifying AI opportunities within integration flows such as enrichment, anomaly detection, routing and classification, and defining safe governed usage with clear input and output contracts, guardrails, handling of sensitive data in prompts, and monitoring for model drift in production.

What the posting requires:
- 10+ years of overall software and integration engineering experience, with 8+ years focused on API and enterprise integration.
- 4+ years in a senior, lead or architect capacity, owning API and integration designs, patterns and technical decisions.

What the work actually looks like:

API and integration architecture:
- Own the API and integration architecture and strategy for assigned domains, defining API led patterns across experience, process and system APIs, plus reference architectures and standards.
- Design, build and evolve RESTful APIs with clear contracts, documentation and service level agreements for internal and external consumers.
- Lead integrations between SaaS and on premises applications including NetSuite, Workday, Salesforce, Snowflake and ServiceNow.
- Define non functional requirements and SLAs for APIs and integrations covering availability, latency, throughput, error budgets, RTO and RPO.
- Drive observability and reliability by standardising logging, tracing, metrics, dashboards and alerting, and creating operational runbooks for incident response and post incident reviews.

AI and intelligent automation:
- Identify and prioritise AI opportunities within API and integration flows such as data enrichment, anomaly detection, routing, summarisation, classification and intent extraction.
- Define safe and governed AI usage: clear input and output contracts for AI services, guardrails through prompt design, validation and constraints, handling of sensitive personal, financial and HR data in prompts and responses, and monitoring for model performance and drift in production.

Governance and delivery:
- Partner with security, compliance and audit teams so integrations, APIs and AI services meet security, privacy and regulatory requirements including SOX sensitive data flows, access control, encryption and audit trails.
- Lead technical discovery and solution design for new initiatives with product managers, application owners and business stakeholders.
- Own vendor and platform technical relationships, anticipating deprecations and coordinating upgrades and migrations.
- Oversee CI/CD practice including branching and release strategy, automated testing and environment configuration across development, QA, UAT and production.

⚠️ Applying to Rubrik: rubrik.com returns 403 to automated requests, so this listing was verified live through the Greenhouse jobs API rather than by fetching the page. It opens normally in a browser.

Location and working pattern: Bangalore, India. Office days are not stated.

Honest fit guidance: the AI governance section is the part that will separate applications, because plenty of engineers have integration depth and far fewer have put guardrails around AI in a SOX sensitive flow.