Skip to content

Devops Engineer
Company | Swish Analytics |
---|
Location | San Francisco, CA, USA |
---|
Salary | $110000 – $175000 |
---|
Type | Full-Time |
---|
Degrees | |
---|
Experience Level | Mid Level, Senior |
---|
Requirements
- 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
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
Preferred Qualifications
- Experience with ML Ops or similar
- Knowledge in advanced statistical methods