Senior Cloud Infrastructure Engineer
Clearwater Analytics India Private LimitedJob Description
Staff Cloud Engineer
Cloud Architecture & Infrastructure
- Design, architect, and implement scalable, secure, and highly available cloud infrastructure on AWS across multi-account, multi-region environments.
- Define and enforce cloud architecture standards, best practices, and governance policies using AWS Organizations, Control Tower, and SCPs.
- Build and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation — writing reusable modules consumed across all product teams.
- Improve and optimize cloud environments for cost, performance, and reliability — owning FinOps practices including Savings Plans, Spot strategy, and Graviton adoption.
- Collaborate with engineering, data, and security teams to build resilient distributed systems.
- Drive innovation and continuous improvement initiatives across the platform.
- Design, deploy, and manage production EKS clusters at multi-tenant financial-services scale.
- Plan and execute cluster upgrades, patching, and Kubernetes version lifecycle management with zero customer impact.
- Build and maintain internal Helm chart libraries and GitOps-driven cluster configuration using ArgoCD or Flux.
- Implement zero-trust network principles and enforce IAM least-privilege across all AWS accounts.
- Drive SRE practices: define and enforce SLOs for EKS, API Gateway etc.
- Lead incident response, postmortem analysis, and blameless RCA processes for platform-level outages.
- Build chaos engineering exercises and disaster recovery testing across availability zones and regions.
- Partner with software engineering teams to deliver end-to-end solutions from design through production.
- Evaluate new AWS services and open-source tooling to continuously improve infrastructure capabilities.
Required Qualifications
- Strong, hands-on experience with AWS cloud services: EC2, VPC, IAM, EKS, S3, CloudWatch, API Gateway, Route 53, and more.
- Proven experience operating Amazon EKS in production: cluster lifecycle, RBAC, IRSA, node groups, and autoscaling.
- Proficiency in Infrastructure as Code with Terraform and AWS CloudFormation.
- Solid understanding of containerization: Docker, Kubernetes architecture, and container lifecycle management.
- Experience with monitoring and logging tools: Prometheus, Grafana, Dynatrace, OpenSearch, ELK/Loki.
- Strong Linux/Unix systems administration and scripting in Bash, Python, or similar.
- Deep knowledge of cloud security best practices: IAM, RBAC, secrets management, and network security.
- Solid networking fundamentals: VPCs, subnets, load balancing, DNS, and Kubernetes ingress controllers.
- Ability to troubleshoot distributed systems and debug complex production issues at scale.
- Strong problem-solving skills with the ability to drive technical decisions across teams in a fast-paced environment.
Preferred Skills
- AWS Certifications: Solutions Architect Professional or DevOps Engineer Professional.
- Kubernetes Certifications: CKA or CKAD.
- Experience with Helm and GitOps tools (ArgoCD, Flux).
- Experience with Rancher/ArgoCD or similar tools for EKS node provisioning.
- Exposure to microservices architecture and distributed systems at scale.
- Experience with AWS API Gateway and Lambda Authorizers for JWT/OIDC-based auth flows.
- Background in cost optimization and performance tuning (Graviton, Spot, Savings Plans).
- Familiarity with CIAM/identity federation: OIDC, OAuth2, SAML, Auth0 integration.
- Understanding AI/ML infrastructure: model training pipelines, deployment on EKS, and model monitoring.
Experience Level
Senior LevelJob role
Job requirements
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