Cloud Platform Engineer - AI, Officer
State Street Corporation (company site, opens in a new tab)12+ yrsHyderabadOn-siteDirect career pageEst. 30–50 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own cloud infrastructure for AI/ML workloads, including provisioning, Kubernetes deployments, CI/CD and MLOps workflows for model training, release and monitoring.
- Improve production platform reliability, security, observability, scalability and cost efficiency; troubleshoot operational issues and automate infrastructure delivery.
- The JD also includes substantial enterprise software engineering duties (architecture, coding, testing and production troubleshooting), creating a broader scope than the AI platform role alone suggests.
Minimum Requirements
- Work Experience Required: The JD states 8–12+ years for the AI/ML DevOps role, but later specifies a minimum of 12 years of professional software engineering experience; these requirements are inconsistent. It also specifies at least 3 years working with Agile development methodology.
- Experience supporting AI/ML workloads in production, including model deployment, serving or monitoring; knowledge of MLOps tools and workflows is required.
- Strong experience with at least one major cloud platform, Linux administration, containers/Kubernetes, infrastructure as code and CI/CD tools.
- A technical bachelor’s degree is stated as required in the later software engineering section; that section also names Java/C#/SQL/JavaScript or related languages and Spring Boot/microservices experience.
Ideal Candidate Profile
- An experienced cloud/DevOps engineer who has operated production AI/ML platforms and can connect infrastructure automation with model deployment and monitoring.
- Likely to fit best with hands-on ownership across platform operations and software delivery; the JD also signals enterprise architecture and complex production-support responsibilities.
- Financial-services development experience in portfolio management, trading, compliance, post-trade, IBOR or wealth management is strongly desired; LLM, generative AI and RAG experience are preferred.