Job Description
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 and provide on call work as needed.
About Swish Analytics
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.