DevOps Engineer - Golang Sunnyvale - CA - California

Sunnyvale CA

Job Description:

>> Support and administer large-scale Kubernetes platforms hosting mission-critical applications with high availability requirements

>> Design, implement, and maintain CICD pipelines using GitOps methodologies (Flux), Jenkins, and GitLab for automated build, test, and deployment workflows

>> Develop and maintain Infrastructure-as-Code solutions using Terraform and Ansible to provision AWS resources (EKS, EC2, RDS, S3, VPC, IAM, Route 53, Lambda)

>> Build, deploy, and manage containerized applications using Docker, Helm, and Kustomize

>> Configure and maintain monitoring, alerting, and observability using Prometheus and Grafana define and track SLIsSLOs and manage error budgets

>> Perform incident triage, root cause analysis (RCA), and resolution of complex network, platform, and application issues

>> Participate in on-call rotations, responding to high-severity production incidents and restoring services within defined SLOs

>> Harden Kubernetes clusters through network policies, secrets management, and secure container image practices

>> Automate operational processes through scripting in Python, Bash, and Shell

>> Support messaging and data platforms including Kafka, Redis, and RabbitMQ

>> Collaborate with Development, QA, and Product teams to resolve environment issues and reduce release bottlenecks

>> Optimize cloud infrastructure costs through right-sizing, autoscaling, and workload scheduling

Requirements:

>> 5+ years of experience in DevOps, SRE or platformcloud engineering roles

>> Strong hands-on experience administering Kubernetes in production environments

>> Proficiency with Terraform and Ansible for IaC and configuration management

>> Solid experience with AWS core services (EKS, EC2, S3, RDS, Lambda, VPC, IAM, Route 53)

>> Experience implementing CICD pipelines (Jenkins, GitLab, Azure Pipelines) and GitOps workflows (FluxCD)

>> Scripting proficiency in Python, Bash or Go

>> Experience with observability tooling (Prometheus, Grafana, Splunk)

>> Experience with containerization (Docker) and Kubernetes packaging tools (Helm, Kustomize)

>> Strong troubleshooting skills across network, platform and application layers