Software Engineering & Development, SrAssc
State StreetResponsibilities
- Build, deploy, and support enterprise AI platform services across AWS and Azure.
- Provision scalable, secure, and highly available cloud infrastructure.
- Deploy, manage, troubleshoot, monitor, and upgrade multi-tenant Kubernetes clusters in AKS and EKS.
- Configure Kubernetes namespaces, RBAC, ingress controllers, service mesh, networking, autoscaling, workload scheduling, and resiliency capabilities.
- Develop reusable Terraform Infrastructure-as-Code modules and Harness CI/CD deployment pipelines.
- Automate environment provisioning, application deployment, and operational tasks using AI-assisted tools and automation agents.
- Implement CI/CD pipelines for AI and ML solutions and support model deployment, versioning, monitoring, and lifecycle management.
- Enable RAG pipelines, vector databases, LLM integrations, AI observability, and performance monitoring.
- Configure dashboards, alerts, and observability solutions and develop AIOps capabilities for root cause analysis and anomaly detection.
Requirements
- At least 3 years of experience in cloud engineering, DevOps, infrastructure engineering, or MLOps.
- At least 2 years of hands-on enterprise Kubernetes administration experience, including Docker, Helm, cluster monitoring, alert configuration, and container security.
- Expertise with Terraform, Harness CI/CD pipelines, and shell scripting.
- AWS experience with EKS, IAM, VPC Networking, Lambda, CloudWatch, ECR, and S3.
- Azure experience with AKS, Azure Networking, Entra ID, Azure Monitor, and Key Vault.
- Experience supporting cloud-native applications and production workloads.
- Strong communication, troubleshooting, and automation skills.
- Preferred: Kubernetes administration certification; experience with generative AI or Agentic AI platforms; familiarity with LLMOps, MLOps, AI platform operations, RAG architectures, or vector databases.
- Preferred: exposure to Databricks, MLflow, Azure ML, AWS Bedrock, AWS SageMaker, Azure AI Foundry, or OpenAI services.
- Preferred: knowledge of AI-assisted infrastructure automation and cloud certifications in AWS, Azure, or Terraform.
Benefits
- Inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.
- Equal opportunity employment practices are provided.
About State Street
At State Street, we deliver leading investment platforms, data, expertise, and solutions that accelerate performance and better decision making. With over 200 years of global financial leadership, we equip institutional investors through a comprehensive suite of capabilities: Investment Services: Integrated front-to-back solutions across custody, accounting, and operations. Investment Management: Index and active strategies from one of the world’s largest asset managers. Markets: Multi-asset trading, FX solutions, and data-driven research to enhance portfolio value. Who We Are • 50,000+ employees worldwide • Active in 100+ markets • #1 in ETF servicing What You’ll Find Here • Executive perspectives and thought leadership • Timely market commentary and macro insights • Our views on investment operations, ETFs, private markets, and digital finance • Stories reflecting our culture, values and commitment to diversity and inclusion