Athenahealth
Senior MLOps Engineer - athenaIntelligence R&D
Athenahealth, Boston, Massachusetts, us, 02298
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
About Analytics and AI
Analytics & AI unleashes the power of athenahealth’s expansive healthcare information by applying advanced analytics, data science, and machine learning to petabytes of data. We are looking for smart, passionate team players who can help us improve the state of healthcare by tackling some of the most complex data science and machine learning challenges in the industry. We’re currently seeking a Senior MLOps Engineer to join our Machine Learning Operations (MLOps) team.
Job Description
The MLOps team designs, develops, deploys, monitors, and assures the continuous operation of the athenahealth cloud-based platform supporting Machine Learning Algorithms. We strive for operational excellence, results-oriented and creative problem-solving, and a passion for helping our team-mates succeed.
What you'll do:
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 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.
You're a good fit if you:
Strive to solve manual & repetitive operations through automation.
Enjoy learning new tools, languages, and frameworks.
Enjoy a highly collaborative environment.
Are organized and detail oriented.
Have a strong customer focus.
Have good communication skills and are calm under pressure.
Have a high sense of ownership and a “can-do” attitude.
Are willing to dig deep into infrastructure and code to solve problems.
Are an enthusiastic self-starter with a commitment to learning.
What we're looking for:
A bachelor’s degree in computer science, 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.
athenahealth is committed to a policy of equal employment opportunity—that’s why we recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. We’re happy to provide a reasonable accommodation, for those with a disability, to complete any part of the application process. If you are unable to access or use this online application process and need an alternative method for applying, please contact us at taoperations@athenahealth.com for assistance.
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About Analytics and AI
Analytics & AI unleashes the power of athenahealth’s expansive healthcare information by applying advanced analytics, data science, and machine learning to petabytes of data. We are looking for smart, passionate team players who can help us improve the state of healthcare by tackling some of the most complex data science and machine learning challenges in the industry. We’re currently seeking a Senior MLOps Engineer to join our Machine Learning Operations (MLOps) team.
Job Description
The MLOps team designs, develops, deploys, monitors, and assures the continuous operation of the athenahealth cloud-based platform supporting Machine Learning Algorithms. We strive for operational excellence, results-oriented and creative problem-solving, and a passion for helping our team-mates succeed.
What you'll do:
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 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.
You're a good fit if you:
Strive to solve manual & repetitive operations through automation.
Enjoy learning new tools, languages, and frameworks.
Enjoy a highly collaborative environment.
Are organized and detail oriented.
Have a strong customer focus.
Have good communication skills and are calm under pressure.
Have a high sense of ownership and a “can-do” attitude.
Are willing to dig deep into infrastructure and code to solve problems.
Are an enthusiastic self-starter with a commitment to learning.
What we're looking for:
A bachelor’s degree in computer science, 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.
athenahealth is committed to a policy of equal employment opportunity—that’s why we recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. We’re happy to provide a reasonable accommodation, for those with a disability, to complete any part of the application process. If you are unable to access or use this online application process and need an alternative method for applying, please contact us at taoperations@athenahealth.com for assistance.
#J-18808-Ljbffr