Senior Cloud Platform Engineer - Hybrid,CA

What you'll do

• Responsibilities:
• • Design and operate scalable, highly available, multi-account cloud infrastructure
• (AWS).
• • Build and maintain Infrastructure-as-Code modules and standards using Terraform.
• • Develop reusable platform patterns, landing zones, and golden paths for
• engineering teams.
• • Optimize and operate CI/CD pipelines (Jenkins, GitHub Actions, Harness).
• • Enable developer self-service and reduce manual intervention through automation.
• • Manage Kubernetes platforms (EKS) networking, scaling, upgrades, and workload
• onboarding.
• • Operate and support Kafka-based event streaming platforms — topics, schemas,
• connectors, and cluster reliability.
• • Build and integrate REST APIs and self-service tooling to streamline platform
• workflows.
• • Implement cloud security and governance (IAM, OAuth/OIDC, OKTA, SSL/TLS,
• secrets management).
• • Drive cloud cost optimization, capacity planning, and FinOps practices.
• • Implement observability — metrics, logging, tracing, alerting, and SLOs.
• • Lead incident response, troubleshooting, and root cause analysis across platform
• and runtime systems.
• • Partner with application teams to troubleshoot infrastructure, deployment, and
• runtime issues.
• • Drive continuous improvement using operational insights and user feedback.
• • Enhance documentation, runbooks, and platform usability.

What we're looking for

• Must Have Skills:
• • Cloud: AWS (EKS, EC2, VPC/Networking, IAM, S3, RDS, Lambda)
• • IaC: Terraform (modules, state management, policy-as-code)
• • CI/CD: GitHub Actions, Harness
• • APIs & Integration: REST APIs (design, development, integration), Async APIs
• • Containers & Orchestration: Docker, Kubernetes (EKS)
• • Security: OAuth, OIDC, OKTA, SSL/TLS, IAM, secrets management
• Desired Skills:
• • Event Streaming: Kafka, Confluent (topics, schemas, Kafka Connect, cluster linking)
• • Monitoring/Observability: Datadog, CloudWatch
• • Programming/Scripting: Java/Python
• Key Competencies:
• • Strong troubleshooting and problem-solving across distributed systems.
• • Ability to translate operational issues into durable platform improvements.
• • System-thinking approach to reliability, security, and cost.
• • Effective collaboration and technical mentorship across engineering teams