Remote DevOps Engineer

Summary

The job is for a remote DevOps or DevSecOps role at Swish Analytics, a sports analytics startup. The position involves developing Kubernetes clusters, working closely with Data Science and Data Engineering teams, and maintaining system SLO/SLA. The salary range is $80,000 - $140,000.

Requirements

• 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
• Have worked with machine learning pipelines

Responsibilities

• Develop, maintain and implement Kubernetes clusters at scale that are ready for heavy/spiky ML workloads
• Work closely with Data Science and Data Engineering teams to implement, optimize and scale workloads 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 to improve the reliability and scalability of services
• Pioneer, implement, and enforce best practices for software deployment and code management
• Monitor the system and respond to incidents to maintain system SLO/SLA, review and follow up production incidents
• Provide on call work as needed

Preferred Qualifications

• Experience with ML Ops or similar
• Knowledge in advanced statistical methods

Benefits

Base salary: $80,000 - $140,000