[Hiring] DevOps Engineer @Swish Analytics

Role Description

As a DevOps Engineer, you will:

• Develop, maintain, and implement Kubernetes clusters at scale 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 develop and implement specialized infrastructure to deliver tools, software, and platforms that improve reliability and scalability.
• 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, reviewing and following up on production incidents.
• Provide on-call work as needed.

Qualifications

• 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 CI/CD pipelines with GitHub Actions, Jenkins, and ArgoCD.
• 4+ years of experience managing, provisioning, and maintaining distributed systems with containerization tools, including Kubernetes, Docker, and Helm.
• 2+ years of Python or Go experience.
• Deep understanding of distributed systems including storage, networking, and security.
• Previous SRE or DevOps experience in managing customer-facing systems in a 24/7 environment.
• Experience with data and/or analytics products.

Requirements

• Experience with ML Ops or similar (preferred).
• Knowledge in advanced statistical methods (preferred).

Company Description

Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

This position is 100% remote.