Cloud Platform Engineer - AI, Officer
State Street4 days ago
Hyderābād, IndiaSenior / Staff+
Responsibilities
- Design, implement, and manage cloud infrastructure for AI/ML applications and services.
- Build and maintain CI/CD pipelines for applications and machine learning model deployments.
- Automate infrastructure provisioning with Infrastructure as Code tools.
- Deploy and manage containerized workloads using Kubernetes.
- Implement MLOps workflows for model training, validation, deployment, and monitoring.
- Optimize cloud resources for performance, scalability, availability, and cost efficiency.
- Monitor platform health, troubleshoot production issues, and establish logging, monitoring, and tracing solutions.
- Implement security, secrets management, IAM, compliance, and DevSecOps controls.
- Collaborate with data scientists, ML engineers, software developers, platform teams, Business Analysts, and Product Managers.
- Design, develop, test, debug, and implement complex enterprise software enhancements and platform solutions.
- Provide technical leadership in product architecture, code reviews, documentation, and production troubleshooting.
- Develop automated and manual tests and contribute to test methodology improvements.
- Coordinate cross-team activities and participate in the CRD agile development process.
Requirements
- 8–12+ years of DevOps, platform, or software engineering experience is stated, with a later requirement for a minimum of 12 years of progressively responsible professional software engineering experience.
- Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, Physics, or another technical field is required; a master’s degree is strongly preferred.
- Strong experience with at least one of AWS, Azure, or GCP and with Linux system administration is required.
- Experience with Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, or GitLab CI/CD is required or expected.
- Experience supporting AI/ML workloads in production, including model deployment, serving, monitoring, GPU infrastructure, and distributed training environments, is required.
- Experience with MLflow, Kubeflow, vector databases, LLM applications, generative AI workflows, and AI service or API integration is expected.
- Experience with Prometheus, Grafana, OpenTelemetry, HashiCorp Vault, and DevSecOps practices is required or preferred.
- Experience with LLMs, generative AI platforms, RAG architectures, multi-cloud or hybrid-cloud environments, and cloud, Kubernetes, or Terraform certifications is preferred.
- Experience with Python scripting, data pipelines, streaming technologies, AI infrastructure cost optimization, internal developer platforms, and self-service infrastructure is beneficial.
- Experience with enterprise architecture, Spring Boot microservices, cloud-native services, Kubernetes, Kafka, Snowflake, PostgreSQL, relational databases, object-oriented programming, and message-based systems is required or preferred.
- At least three years of financial-services software development experience and three years working with an Agile development methodology are strongly desired or required in the posting.
- Strong problem-solving, written and verbal communication, collaboration, and ability to design simple solutions to complex technical problems are required.
Benefits
- Competitive and comprehensive benefits packages, including medical care, insurance, and savings plans, with details varying by location.
- Flexible Work Program and work-life support tools.
- Professional development programs and educational support.
- Paid volunteer days, matching gift programs, and employee networks.
- Inclusive workplace committed to diversity, equal opportunity, and affirmative action.
Tech Stack
AnsibleApache KafkaAWSAzureC#DockerGitHub ActionsGitLab CI/CDGoogle Cloud PlatformGrafanaJavaJavaScriptJenkinsKubernetesLinuxMLflowPostgreSQLPrometheusPythonSnowflakeSpring BootSQLTerraform
Categories
About State Street
State Street is a global custodian bank and asset manager serving institutional investors with investment servicing, fund accounting, trading/FX, data, and index/active strategies. Its products include State Street Global Advisors’ funds and ETFs, the Charles River Investment Management Solution, and the front-to-back State Street Alpha platform. Founded in 1792 and headquartered in Boston, the company is publicly traded on the NYSE (ticker: STT) and operates across major markets worldwide.