Job Description

Company Overview

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.

Must be located in PST.

Position Overview

We are seeking experienced DevOps/DevSecOps engineers to develop, maintain, and scale Kubernetes clusters for heavy/spiky ML workloads. You will work closely with Data Science and Data Engineering teams to optimize and scale workloads, implement specialized infrastructure, and pioneer best practices for software deployment and code management. This role requires on-call availability and a strong understanding of distributed systems and customer-facing systems in a 24/7 environment.

Responsibilities

• Develop, maintain, and implement Kubernetes clusters at scale, optimized for heavy/spiky ML workloads.
• Collaborate with Data Science and Data Engineering teams to implement, optimize, and scale workloads on Kubernetes using CI/CD, automation tools, and scripting languages.
• Assist Data Science and Data Engineering in developing and implementing specialized infrastructure to deliver tools/software, enhancing the reliability and scalability of services.
• Pioneer, implement, and enforce best practices for software deployment and code management.
• Monitor systems, respond to incidents to maintain system SLO/SLA, and review/follow up on production incidents.
• Provide on-call support as needed.

Qualifications

• 5+ years of experience in a DevOps or DevSecOps role.
• 5+ years of experience building within AWS, including EKS, EC2, RDS, and other common AWS services using Terraform, Terragrunt, or similar technologies.
• 5+ years of experience building CI/CD pipelines with Github Actions, Jenkins, and ArgoCD.
• 5+ years of experience managing, provisioning, and maintaining distributed systems with containerization tools, including Kubernetes, Docker, and Helm.
• 2+ years of experience with Python or Go.
• Deep understanding of distributed systems, including storage, networking, and security.
• Previous SRE or DevOps experience managing customer-facing systems in a 24/7 environment.
• Experience with machine learning pipelines.

Preferred Qualifications

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

Salary Information

• Level: $120,000 - $160,000
• Level: $160,000 - $190,000

Employment Type

• [Employment Type not specified]

Location Type

• [Location Type not specified]

Application Instructions

• [Application Instructions not specified]

Company Policy

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.