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Swish Analytics

DevOps Engineer

Swish Analytics

DevOps Engineer developing and maintaining Kubernetes infrastructure for Swish Analytics, a sports analytics startup. Collaborating with data teams to improve reliability and scalability of systems.

Posted 4/28/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSDistributed SystemsDockerEC2GoJenkinsKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Use your experience to develop, maintain and implement Kubernetes clusters at scale that are ready for heterogeneous and elastic workloads
  • Work closely with Data Science and Data Engineering teams to implement, optimize and scale systems on Kubernetes using CI/CD, automation tools and scripting languages
  • Help Data Science and Data Engineering develop and implement specialized infrastructure to deliver tools, software, and platforms that improve the reliability and scalability of capabilities
  • Pioneer, implement, and encourage best practices for software deployment and code management through automation and education
  • Monitor the system and respond to incidents to maintain system SLO/SLA, review and follow up production incidents
  • Provide on call work as needed

Requirements

What you’ll need
  • 4+ years of experience working in a DevOps or DevSecOps role
  • 4+ years building within AWS, including EKS, EC2, RDS, and other common AWS services using Terraform, Terragrunt or similar technologies
  • 4+ years building CICD pipelines with Github Actions, Jenkins and ArgoCD
  • 4+ years of experience managing, provisioning and maintaining distributed systems with containerization tools, including Kubernetes, Docker, Helm
  • 2+ years of Python or Go experience
  • Have a deep understanding of distributed systems including storage, networking, and security
  • Have previous SRE or DevOps experience in managing customer-facing systems in a 24/7 environment

Benefits

Comp & perks
  • Remote work
  • Professional development opportunities
  • Equal Opportunity Employer

ATS Keywords

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Hard Skills & Tools
KubernetesAWSTerraformTerragruntCI/CDGitHub ActionsJenkinsArgoCDPythonGo
Soft Skills
collaborationincident responsebest practices implementationautomationeducation