Java SRE Engineer Job at Eitacies Inc, Santa Clara, CA

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  • Eitacies Inc
  • Santa Clara, CA

Job Description

Job Description

Job Description

Java SRE Engineer
Onsite San Francisco Bay Area
Infrastructure Engineer (2 Positions)

We are looking for an experienced Java SRE / Platform Engineer to support large-scale cloud migrations and production systems on AWS and Kubernetes platforms. This role is focused on infrastructure, reliability, and automation , with Java exposure as a supporting skill.

Required Skill : AWS, AWS EKS, Kubernetes, DevOps / SRE, Java

Key Responsibilities:
  • Lead large-scale migrations of business-critical applications to AWS and Kubernetes (EKS)
  • Design and operate production-grade AWS EKS platforms
  • Implement GitOps-based deployment strategies using ArgoCD and Spinnaker
  • Build and manage CI/CD pipelines and automated release strategies (blue/green, canary)
  • Develop Python-based automation for infrastructure and operations
  • Create and maintain Helm charts and deployment standards
  • Troubleshoot and optimize Linux-based systems in production environments
  • Support production systems including on-call, incident response, and RCA
  • Collaborate with SRE and Security teams to ensure system reliability and scalability
  • Drive architectural decisions and contribute to long-term platform strategy
  • Mentor team members and improve engineering practices
Qualifications:
  • 10+ years of experience in Cloud / DevOps / SRE / Platform Engineering
  • Strong hands-on experience with:
    • AWS (EKS, EC2, VPC, IAM, ALB/NLB, CloudWatch, S3, RDS)
    • Kubernetes, Linux systems, Python, ArgoCD (GitOps)
    • Spinnaker, Helm
  • Experience with Infrastructure as Code (Terraform or CloudFormation)
  • Proven experience supporting production environments
  • Experience leading or contributing to AWS migration projects
  • Strong understanding of distributed systems and networking
Preferred Qualifications:
  • Experience with Akamai CDN and caching strategies
  • Experience with Redis and Kafka
  • Familiarity with observability tools (Prometheus, Grafana, Datadog, Splunk)
  • Experience with service mesh (Istio, Linkerd)
  • Knowledge of SRE practices (SLIs, SLOs, error budgets)
  • Strong communication and documentation skills

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