Senior Site Reliability Engineer

Posted about 1 month agoViewed
100000 - 120000 USD per year
IndiaFull-TimeSoftware Development
Company:Arcadia
Location:India, EST, PST
Languages:English
Seniority level:Senior, 8-10+ years
Experience:8-10+ years
Skills:
AWSPostgreSQLPythonSoftware DevelopmentSQLAWS EKSBashJenkinsKubernetesMySQLGrafanaGroovyPrometheusCI/CDDevOpsTerraform
Requirements:
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 8–10+ years of experience in SRE/DevOps/Cloud Engineering Deep hands-on exposure to AWS and Kubernetes Strong hands-on experience with Terraform & Infrastructure as Code Strong hands-on experience with AWS core services (EKS, IAM, RDS, EC2, VPC, CloudWatch, CloudTrail, GuardDuty) Strong hands-on experience with Jenkins + Groovy, GitHub Actions, ArgoCD, FluxCD Strong hands-on experience with Kubernetes troubleshooting and operations Strong hands-on experience with Prometheus/Grafana/Datadog observability stacks Proven ability to operate in high-scale, high-uptime, multi-environment production systems Experience building automation via Python/Bash and reducing operational toil Strong understanding of incident management, root cause analysis, and reliability engineering principles Experience working with globally distributed teams across multiple time zones Excellent communication skills (must interact with US teams daily) Ability to work independently with minimal supervision, take ownership, and drive initiatives end-to-end A growth mindset, strong troubleshooting ability, and comfort with complex cloud-native environments
Responsibilities:
Design, build, and maintain AWS infrastructure using Terraform and CloudFormation Lead Kubernetes operations including cluster upgrades and performance tuning Own and evolve CI/CD ecosystem Improve platform reliability through automation and scripting Implement and enhance observability Drive FinOps initiatives Manage database operations Maintain and improve secret management Strengthen cloud security posture Troubleshoot complex production issues Collaborate daily with US-based teams Contribute to AI-enabled tooling Document runbooks, architecture diagrams, and best practices Participate in on-call rotations
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