Swish Analytics
Join to apply for the
DevOps Engineer
role at
Swish Analytics Join to apply for the
DevOps Engineer
role at
Swish Analytics 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. 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
Responsibilities:
Use your experience to 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
Qualifications:
5+ years of experience working in a DevOps or DevSecOps role 5+ years building within AWS, including EKS, EC2, RDS, and other common AWS services using Terraform, Terragrunt or similar technologies 5+ years building CICD pipelines with Github Actions, Jenkins and ArgoCD 5+ 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
Preferred:
Experience with ML Ops or similar Knowledge in advanced statistical methods
Base salary:
Level: $120-160K
Level: $160-190K
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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Referrals increase your chances of interviewing at Swish Analytics by 2x Get notified about new DevOps Engineer jobs in
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DevOps Engineer
role at
Swish Analytics Join to apply for the
DevOps Engineer
role at
Swish Analytics 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. 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
Responsibilities:
Use your experience to 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
Qualifications:
5+ years of experience working in a DevOps or DevSecOps role 5+ years building within AWS, including EKS, EC2, RDS, and other common AWS services using Terraform, Terragrunt or similar technologies 5+ years building CICD pipelines with Github Actions, Jenkins and ArgoCD 5+ 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
Preferred:
Experience with ML Ops or similar Knowledge in advanced statistical methods
Base salary:
Level: $120-160K
Level: $160-190K
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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Referrals increase your chances of interviewing at Swish Analytics by 2x Get notified about new DevOps Engineer jobs in
San Francisco, CA . San Francisco, CA $175,000.00-$250,000.00 3 weeks ago Site Reliability Engineer (SRE, Remote US)
San Francisco, CA $120,000.00-$160,000.00 4 months ago San Francisco, CA $180,000.00-$200,000.00 4 months ago Engineer, DevOps Infrastructure as Code (IaC) - AI Training (Freelance, Remote)
San Francisco, CA $175,000.00-$250,000.00 3 weeks ago San Francisco, CA $100,000.00-$165,000.00 3 weeks ago San Francisco, CA $129,938.00-$216,563.00 3 days ago San Francisco, CA $200,000.00-$250,000.00 17 hours ago Senior Site Reliability Engineer — GPU Infrastructure
San Francisco, CA $100,000.00-$165,000.00 3 days ago Senior Site Reliability / Gitops Engineer
San Francisco, CA $150,000.00-$225,000.00 3 months ago San Francisco, CA $140,250.00-$190,000.00 3 days ago Lead Site Reliability Engineer, Observability - Remote
San Francisco, CA $110,000.00-$205,000.00 2 weeks ago Principal Site Reliability Engineer, Federal
Senior Software Engineer, Cloud Transition
San Francisco, CA $186,300.00-$269,075.00 2 weeks ago San Francisco, CA $156,000.00-$234,000.00 6 days ago Oakland, CA $156,000.00-$234,000.00 2 weeks ago San Francisco, CA $170,000.00-$230,000.00 2 months ago San Francisco, CA $150,000.00-$175,000.00 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr