200+ applicants

Company

Original Job Post

Swish Analytics · 5 days ago

DevOps Engineer

San Francisco Bay Area

Full-time

Onsite

Mid Level

4+ years exp

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Hiring Manager

Adrian Russo

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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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

DevOpsDevSecOpsAWSEKSEC2RDSTerraformTerragruntCICDGithub ActionsJenkinsArgoCDContainerization toolsKubernetesDockerHelmPythonGoDistributed systemsStorageSecuritySRE24/7 environmentMachine learning pipelinesML OpsAdvanced Statistical Methods

Required

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

Have worked with machine learning pipelines

Preferred

Experience with ML Ops or similar

Knowledge in advanced statistical methods

Company

Swish Analytics

Swish Analytics operates as machine learning system for sports.

Founded in 2014

San Francisco, California, USA

11-50 employees

http://swishanalytics.com

H1B Sponsorship

Swish Analytics has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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