Site Reliability Engineer – Backend (Java)

Role: Site Reliability Engineer – Backend (Java)
Mode: Hybrid (3 days/week onsite)
Duration: Full-time (Only W2)
Relocation: Only Texas
Location: Austin, TX  

Hiring Manager note:- Strong programming skills in Java, Python, Scala, or Go are mandatory. Additionally, candidates must have experience with table formats and data lake technologies, specifically Apache Iceberg.

Job Description:

Skills

• Core Java
• Advanced Java
• Advanced Java 8
• Amazon Web Services (AWS)
• Amazon Web Services EKS (AWS EKS)
• Kubernetes
• DevOps / SRE

Key Responsibilities:

• Architect and drive large-scale migrations of business-critical services to AWS and Kubernetes-based platforms
• Define and implement GitOps-first deployment strategies using ArgoCD, with Spinnaker for advanced delivery workflows
• Design, build, and operate production-grade AWS EKS platforms at scale
• Establish best practices for CI/CD, deployment automation, and release strategies (blue/green, canary, progressive delivery)
• Design and maintain reusable Helm charts and standardized deployment patterns
• Develop and maintain Python-based tooling and automation for deployment, operations, and reliability
• Provide deep Linux systems expertise, including performance tuning, debugging, and incident mitigation
• Own and support production systems, including on-call participation, incident response, and root cause analysis
• Partner with SRE and Security teams to embed reliability, scalability, and security into platform design
• Drive architectural reviews, author design documents, and influence long-term platform and migration roadmaps
• Mentor engineers and raise the bar for DevOps and platform engineering practices

Minimum Qualifications:

• 10+ years of experience as a Cloud / DevOps / Platform Engineer supporting production systems
• Proven experience leading AWS migrations for large, high-traffic, business-critical platforms
• Strong hands-on expertise with:
• Linux systems (performance tuning, networking, troubleshooting)
• Python for automation, tooling, and operational workflows
• AWS (EKS, VPC, IAM, EC2, ALB/NLB, CloudWatch, S3, RDS)
• Kubernetes (EKS) in production environments
• ArgoCD and GitOps deployment models
• Spinnaker for continuous delivery
• Helm for application packaging and release management
• Experience operating and supporting production environments with on-call responsibility
• Experience with Infrastructure as Code (Terraform and/or CloudFormation)
• Strong understanding of distributed systems, networking, and cloud security
• Ability to lead through influence and collaborate across engineering disciplines

Preferred Qualifications:

• Familiarity with Akamai CDN, caching strategies, and edge delivery patterns
• Experience with Redis (caching, replication, high availability)
• Experience with Kafka or other distributed messaging systems
• Experience operating platforms at scale (hundreds of services, multi-team environments)
• Experience with observability platforms (Prometheus, Grafana, OpenTelemetry, Splunk, Datadog)
• Familiarity with SRE practices including SLIs, SLOs, error budgets, and incident response
• Experience with service mesh technologies (Istio, Linkerd)
• Strong written and verbal communication skills, including technical design documentation and executive-level discussions