Principal Member of Technical Staff

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Application Development with experience in AI

Position Summary: This position requires experience in designing, debugging, and maintaining practice management applications, in both local and hosted environments, with experience handling large scale projects and customer escalations. This individual would be instrumental in coaching and mentoring junior staff while aiding in continuous process improvement methodology and tools.

Additionally, it would be desirable if the candidate has experience in fine-tuning pre-trained machine learning models, building and training traditional/deep learning models, deploying models at scale, optimising algorithms, and integrating them into production systems. You will collaborate with cross-functional teams to deliver impactful solutions that enhance our products and services.

You are Technologists with zeal to solve complex problems, growth mindset, fast learners who are willing to work in fast paced environment with total accountability.

Our Collector RD teams are building new and exciting revenue cycle services for athenahealth customers. We work on solving complex business problems for a wide range of stakeholders covering everyone from customers to our internal technology enabled services teams and our multiple BPO vendors. Our work is quite complex and requires the ability to conceptualize and implement workflows that manage large volumes of claim resolution work. This work can be manually completed by our BPO partners or automated to increase overall system productivity.

Responsibilities

• Software Development: Write clean, maintainable, scalable and highly performant code following best software engineering practices.
• Performance Monitoring: Implement monitoring and evaluation metrics to assess model performance and make improvements as needed.
• Collaboration: Work closely with product managers, data scientists, and software engineers to define project requirements and deliver high-quality solutions.
• Model Fine-Tuning: Optimize and fine-tune pre-trained machine learning models to meet specific business needs, ensuring improved accuracy and performance.
• Model Building: Training and deploying traditional/deep learning models and integrate them into production systems.
• Data Engineering: Collaborate with product to understand data, analyse, project, preprocess, clean and transform for the problem to be solved
• Research and Innovation: Stay up-to-date with the latest trends in software engineering and in the area of artificial intelligence (desirable).
• Perform peer code reviews to ensure quality standards and sustainability.
• Critique technical documentation as needed.
• Promote Knowledge Center Service (KCS) adoption.
• Deliver customer value in the form of high-quality software solutions and services in adherence with programming standards.
• Develop knowledge to act as a domain expert across multiple modules; facilitate the sharing of business and technical insights with the broader engineering and product organization.
• Lead efforts across the team to ensure completion and effectiveness of open incidents/requests.
• Collaborate, mentor, and advise team members to promote productivity and effectiveness, share business and technical insights with the broader engineering and product organization.

Education Experience Required:

12-18 years of experience in an engineering role.

Experience in an Agile environment. Been part of SDLC, deployment support of software projects.

Bachelor s Degree or equivalent. Significant software engineering skills and computer science experience.

Full stack development with both frontend and backend experience.

Knowledge of modern programming languages such as: Java, Spring Boot, Node JS, React, JavaScript/jQuery, TypeScript.

Knowledge of datastores such as OpenSearch, PostgreSQL RDS, DynamoDB, S3.

Experience architecting/developing solutions on AWS.

Knowledge of Version control management tools like Perforce Git.

Knowledge of Devops tools like Terraform, Jenkins, Groovy, Docker.

Experience with object-oriented programming, relational database technologies, distributed computing tech and RESTful APIs.

Demonstrated experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle.