Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
athenahealth is a progressive, innovation-driven software product company dedicated to transforming healthcare through cutting-edge cloud solutions. We partner with healthcare organizations to improve clinical and financial outcomes by building modern technology on an open, connected ecosystem that drives meaningful insights for our customers and their patients. We take pride in our values-driven culture, offering a flexible work-life balance and fostering an environment of innovation. As a testament to our industry leadership and rapid growth, we were acquired by Bain Capital for $17B in 2021, and we continue to launch new strategic product initiatives to push the boundaries of healthcare technology.
We are headquartered in Boston, US, and our India offices are in Bangalore, Chennai, and Pune.
Position Summary: We’re seeking a Lead Member of Technical Staff (LMTS) – MLOps to join our Machine Learning Operations (MLOps) team in Bangalore (ITPL Whitefield). If you are a smart, passionate, and collaborative engineer who thrives on solving complex ML and data science challenges, this is an excellent opportunity to make an impact in the healthcare space.
About the Team: Our Analytics & AI team harnesses the power of petabytes of healthcare data, applying advanced analytics, data science, and machine learning to revolutionize patient care. The MLOps team is responsible for designing, developing, deploying, and maintaining athenahealth’s cloud-based ML platform supporting ML Algorithms. We focus on operational excellence, innovation, and enabling seamless ML workflows across our ecosystem.
Ideal Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or a related discipline.
- 7 to 12 years of experience in software engineering, with expertise in MLOps, cloud computing, and scalable architectures.
- Strong object-oriented programming skills, preferably in Python.
- Hands-on experience in developing and deploying microservices in any public cloud environment such as AWS, Azure, or GCP.
- Expertise in Kubernetes, including designing, deploying, and maintaining enterprise-class ML models and services.
- Experience in Kubeflow, maintaining and optimizing ML pipelines for efficient model training and deployment.
- Proven experience in deploying and maintaining Linux-based, highly scalable, and fault-tolerant enterprise platforms.
- Hands-on experience with Terraform or CloudFormation for infrastructure automation and cloud resource management.
- Familiarity with monitoring and logging tools such as Grafana, Prometheus, and CloudWatch.
- Strong understanding of cloud security, service mesh architectures (Istio), and scalable ML deployment best practices.
- Experience working with databases such as Snowflake, PostgreSQL, MySQL, Redis, and DynamoDB.
- Proficiency in configuration management and CI/CD tools like Jenkins, Puppet, Chef, and Bottlerocket.
Job Responsibilities
Technical Execution (50%)
- Produce clear and detailed technical design specifications for ML and cloud-based solutions.
- Develop, test, and deploy high-quality software components that align with security, performance, and scalability requirements.
- Design and maintain Kubernetes-based ML model deployments in cloud environments.
- Optimize and manage Kubeflow pipelines for model training, deployment, and monitoring.
- Implement cloud infrastructure automation using Terraform or CloudFormation.
Ensure best practices in cloud security, monitoring, and scalability. - Conduct unit testing, functional testing, and peer code reviews to maintain code quality and reliability.
Contribution to the team (30%)
- Take ownership of deployed models and ensure their continuous improvement.
- Participate actively in agile ceremonies such as stand-ups, sprint planning, retrospectives, and backlog grooming.
- Work collaboratively with data scientists, ML engineers, and software developers to integrate ML models into production environments.
Cross-functional Coordination and Communication (10%)
- Collaborate with technology and product teams to align ML initiatives with business goals.
- Share technical knowledge and insights across teams to enhance collective expertise.
Mentorship and Leadership (10%)
- Mentor and support junior engineers to improve overall team productivity.
- Promote best practices and innovation within the team to drive MLOps success.
About athenahealth
Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
What’s unique about our locations?
From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees — all work to modernize the healthcare experience, together.
Our company culture might be our best feature.
We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone.
Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work.
Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability.
Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement.
What can we do for you?
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
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