Devops Engineer San Francisco, Ca (Remote)

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 Responsibilities: Use your experience to develop, maintain and implement Kubernetes clusters at scale that are ready for heavy/spiky ML workloadsWork closely with Data Science and Data Engineering teams to implement, optimize and scale workloads on Kubernetes using CI/CD, automation tools and scripting languagesHelp Data Science and Data Engineering develop and implement specialized infrastructure to deliver tools/software to improve the reliability and scalability of servicesPioneer, implement, and enforce best practices for software deployment and code managementMonitor the system and respond to incidents to maintain system SLO/SLA, review and follow up production incidentsProvide on call work as neededQualifications: 4+ years of experience working in a DevOps or DevSecOps role4+ years building within AWS, including EKS, EC2, RDS, and other common AWS services using Terraform, Terragrunt or similar technologies4+ years building CICD pipelines with Github Actions, Jenkins and ArgoCD4+ years of experience managing, provisioning and maintaining distributed systems with containerization tools, including Kubernetes, Docker, Helm2+ years of Python or Go experienceHave a deep understanding of distributed systems including storage, networking, and securityHave previous SRE or DevOps experience in managing customer-facing systems in a 24/7 environmentHave worked with machine learning pipelinesPreferred: Experience with ML Ops or similarKnowledge in advanced statistical methods 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. Accepted file types: pdf, doc, docx, txt, rtf
Accepted file types: pdf, doc, docx, txt, rtf
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