Job Description
Grow your career internally or refer a friend to athenahealth!
athenahealth is a progressive, innovation-driven software product company. We partner with healthcare organizations across the care continuum to drive clinical and financial results. Our expert teams build modern technology on an open, connected ecosystem, yielding insights that make a difference for our customers and their patients. We maintain a unique values-driven employee culture and offer a flexible work-life balance. As evidence of our rapid growth and industry leadership, we were acquired by the world’s leading private equity firm “Bain Capital” in 2021 for $17bn! and we have many new strategic product initiatives.
We are headquartered in Boston, US, and our India offices are in Bangalore, Chennai, and Pune.
Position Summary: We’re currently seeking a “Senior Member of Technical Staff – SMTS” to join our Machine Learning Operations (MLOps) team. 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.
About the team: Analytics & AI unleashes the power of athenahealth’s expansive healthcare information by applying advanced analytics, data science, and machine learning to petabytes of data. 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.
Typical Qualifications:
• Bachelor’s degree in computer science, Software Engineering, or related discipline
• Min 5+ years of experience in software engineering
• Strong object-oriented software engineering skills, preferably in Python
• Hands-on experience with developing microservices in a Public Cloud environment such as AWS, Azure, or GCP.
• Strong hands-on experience in Kubernetes, designing, creating, deploying, and maintaining enterprise-class models and services
• Experience maintaining and augmenting pipelines using Kubeflow.
• Experience deploying and maintaining Linux-based, highly scalable, and fault-tolerant enterprise-class software platforms.
• Hands-on experience with any of the following technologies: Spark; Istio/service mesh architecture; cloud security; Terraform/CloudFormation
• 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/Bottle rocket, and Chef.
Responsibilities may include, but are not limited to:
50% [Primary Function] Technical Execution
• Produce accurate, unambiguous technical design specifications to the appropriate detail
• Deliver customer value in the form of high-quality software components and services in adherence with RPR policies on Security, performance, longevity and Integration testing
• Estimate the size of development tasks in story points with the goal of 80% accuracy; begin to challenge others during estimation
• Understand and follow coding conventions, architectures, and best practices
• Write, debug, and deploy code to production; deliver timely fixes
• Adhere to DOD (story definition of done) as part of the sprint, including unit tests, functional testing, code reviews, no regressions, bug fixes, documentation and adhere to best coding practices
• Perform peer code reviews in order to ensure quality standards.
30% Contributions to the Team
• Master the domain knowledge for area of assignment
• Take ownership of what the team builds after the release; consider customer adoption as success criteria
• Contribute to agile ceremonies to improve team performance
• Volunteer for work in the backlog and commit to quality delivery; Coordinate efforts across the team to ensure completion and effectiveness
• Participate and contribute to scrum meetings i.e. daily stand-up, sprint planning, readouts and retrospectives
• Drive self-organization; help determine how the team functions in collaboration with your peers
10% Cross functional Coordination and Communication
• Work collaboratively across the Technology and Product organizations to ensure alignment towards business goals
• Builds strong relationships with cross-functional team members
• Share business and technical learnings with the broader engineering and product organization, while adapting approach for different audiences
10% Mentorship of Others
• Advise and train members of the team to maximize overall productivity and effectiveness of the team.
Have you notified your current manager of your application?
athenahealth is a progressive, innovation-driven software product company. We partner with healthcare organizations across the care continuum to drive clinical and financial results. Our expert teams build modern technology on an open, connected ecosystem, yielding insights that make a difference for our customers and their patients. We maintain a unique values-driven employee culture and offer a flexible work-life balance. As evidence of our rapid growth and industry leadership, we were acquired by the world’s leading private equity firm “Bain Capital” in 2021 for $17bn! and we have many new strategic product initiatives.
We are headquartered in Boston, US, and our India offices are in Bangalore, Chennai, and Pune.
Position Summary: We’re currently seeking a “Senior Member of Technical Staff – SMTS” to join our Machine Learning Operations (MLOps) team. 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.
About the team: Analytics & AI unleashes the power of athenahealth’s expansive healthcare information by applying advanced analytics, data science, and machine learning to petabytes of data. 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.
Typical Qualifications:
• Bachelor’s degree in computer science, Software Engineering, or related discipline
• Min 5+ years of experience in software engineering
• Strong object-oriented software engineering skills, preferably in Python
• Hands-on experience with developing microservices in a Public Cloud environment such as AWS, Azure, or GCP.
• Strong hands-on experience in Kubernetes, designing, creating, deploying, and maintaining enterprise-class models and services
• Experience maintaining and augmenting pipelines using Kubeflow.
• Experience deploying and maintaining Linux-based, highly scalable, and fault-tolerant enterprise-class software platforms.
• Hands-on experience with any of the following technologies: Spark; Istio/service mesh architecture; cloud security; Terraform/CloudFormation
• 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/Bottle rocket, and Chef.
Responsibilities may include, but are not limited to:
50% [Primary Function] Technical Execution
• Produce accurate, unambiguous technical design specifications to the appropriate detail
• Deliver customer value in the form of high-quality software components and services in adherence with RPR policies on Security, performance, longevity and Integration testing
• Estimate the size of development tasks in story points with the goal of 80% accuracy; begin to challenge others during estimation
• Understand and follow coding conventions, architectures, and best practices
• Write, debug, and deploy code to production; deliver timely fixes
• Adhere to DOD (story definition of done) as part of the sprint, including unit tests, functional testing, code reviews, no regressions, bug fixes, documentation and adhere to best coding practices
• Perform peer code reviews in order to ensure quality standards.
30% Contributions to the Team
• Master the domain knowledge for area of assignment
• Take ownership of what the team builds after the release; consider customer adoption as success criteria
• Contribute to agile ceremonies to improve team performance
• Volunteer for work in the backlog and commit to quality delivery; Coordinate efforts across the team to ensure completion and effectiveness
• Participate and contribute to scrum meetings i.e. daily stand-up, sprint planning, readouts and retrospectives
• Drive self-organization; help determine how the team functions in collaboration with your peers
10% Cross functional Coordination and Communication
• Work collaboratively across the Technology and Product organizations to ensure alignment towards business goals
• Builds strong relationships with cross-functional team members
• Share business and technical learnings with the broader engineering and product organization, while adapting approach for different audiences
10% Mentorship of Others
• Advise and train members of the team to maximize overall productivity and effectiveness of the team.
Have you notified your current manager of your application?
💡 Quick Summary
Seeking a career-building opportunity? The Senior MLOps Engineer position is now open for candidates interested in the Health Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Health Jobs is a plus.