Senior Software Engineer, Data & AI Platform

About Our Client

The organization operates in the healthcare industry, focusing on improving chronic disease management by providing ongoing support beyond traditional doctor visits. It addresses the gap in care for conditions such as obesity, diabetes, hypertension, cholesterol, and musculoskeletal issues through a virtual-first model that integrates human-led care teams, connected devices, and AI technology. The program has served over two million members across a wide range of employers, health plans, and health systems, aiming to enhance personalized care at scale.

About the Opportunity

The Senior Software Engineer, Data & AI Platform is responsible for designing, building, and scaling data platform capabilities that support analytics, data science, and AI initiatives. This role plays a key part in creating reusable frameworks and services that enable teams to efficiently develop data products and AI-powered workflows, with an emphasis on security, reliability, and innovation. The position contributes to advancing the organization's data infrastructure and driving improvements in healthcare decision-making through modern data technologies.

Responsibilities

• Design and operate scalable data and AI platform features for analytics and AI use cases with focus on data quality, lineage, security, and governance.
• Develop reusable abstractions, templates, and workflows to standardize data pipeline and product development.
• Collaborate with analytics, AI, data engineering, and application teams to deliver platform capabilities supporting business and clinical decisions.
• Evaluate and integrate modern data and AI technologies emphasizing scalability, reliability, developer experience, and cost efficiency.
• Apply Generative AI to enhance data discovery, documentation, automation, and platform usability.
• Promote software engineering best practices including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure data handling.

Requirements

• Minimum 5 years of professional experience in software or data engineering related to scalable data platforms, services, or analytics infrastructure.
• Experience with modern data architectures such as data lakes, lakehouses, warehouses, and real-time processing.
• Proficiency in Python and SQL for building production-grade data systems.
• Knowledge of distributed computing and cloud-native technologies like Spark and Kubernetes.
• Hands-on experience with Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation.
• Familiarity with data engineering best practices concerning data quality, lineage, governance, observability, and operational excellence.
• Practical use of Generative AI tools to improve workflows, automation, analytics, or data platforms.
• Strong problem-solving, communication, and collaboration skills across technical and non-technical teams.
• Ability to work independently and navigate ambiguity in a fast-paced environment.

Pay Range and Compensation Package

The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Benefits & Perks

• Competitive salary with a generous annual cash bonus
• Equity grants
• Remote-first work from home culture
• Flexible Time Off
• Generous parental leave
• Health, dental, and vision insurance with above-market employer contributions
• 401k retirement savings plan
• Lifestyle Spending Account
• Mental Health Support Solutions

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.