DevOps Engineer

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. The DevOps Engineer will develop, maintain, and implement Kubernetes clusters and work closely with Data Science and Data Engineering teams to optimize and scale systems.

Responsibilities:

• 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 educationMonitor the system and respond to incidents to maintain system SLO/SLA, review and follow up production incidents
• Provide on call work as needed

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
• Experience with data and/or analytics products
• Experience with ML Ops or similar
• Knowledge in advanced statistical methods