| Company |
athenahhealth |
| Job title |
Senior MLOps Engineer |
| Job location |
Boston, Massachusetts, United States of America |
| Type |
Full Time |
Responsibilities:
- Be an integral part of a team responsible for a blend of developing and deploying Machine Learning algorithms in the cloud
- Ensure our cloud-based ML training and serving platforms are available and performant, and that we can proactively identify problems
- Build tools to improve the speed, confidence, and availability of our platform
- Help build security into every step of the software & infrastructure development life cycle
- Collaborate across multiple technical functions to ensure high availability, disaster recovery, and customer satisfaction.
Requirements & Skills:
- A Bachelor’s degree in Computer Science, and engineering.
- 5+ years of combined experience in Software/Data Engineering, MLOps, DevOps, or SRE teams
- Strong hands-on experience in Kubernetes designing, creating, deploying, and maintaining enterprise-class ML models and services
- Experience in Data Science or working with Data Scientists as stakeholders
- Experience with model training pipelines using Kubeflow.
- Experience deploying and maintaining Linux-based, highly scalable, and fault-tolerant enterprise-class software platforms.
- Demonstrated experience with object-oriented programming in Python.
- Hands-on experience with any of the following technologies: Spark; Istio/service mesh architecture; cloud security; Terraform/CloudFormation
- Hands-on experience with developing microservices in a Public Cloud environment such as Amazon’s AWS Services, Azure, or GCP.
- Familiarity with common monitoring, log aggregation, and metrics-gathering platforms such as Grafana, Prometheus, and CloudWatch
- Engineering experience with databases such as Snowflake, Postgres, MySQL, Redis, DynamoDB, etc.
- Familiarity with common configuration management & orchestration tools such as Jenkins, Puppet/Bottlerocket, and Chef.
