Primary Duties:

• Architect complex systems and make critical technical decisions.
• Solve challenging technical problems with innovative solutions.
• Mentor engineers and promote engineering excellence across teams.
• Align technical strategies with business goals through cross-functional collaboration.
• Contribute to technical roadmaps and strategic planning.
• Evaluate new technologies and lead innovation initiatives.

Minimum Qualifications:

• BS/BTech (or higher) in Computer Science, Engineering or a related field required
• 10+ years of production-level experience as an engineer building highly scalable systems
• 6+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
• 4+ years of experience working with SQL or other database querying languages on large multi-table data sets
• Experience architecting, developing, and deploying large-scale distributed systems at scale
• Experience with cloud technologies, e.g., AWS, Azure, GCP
• Experience building continuous integration and continuous development (CI/CD) pipelines
• Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)

Preferred Knowledge, Skills and/or Abilities:

• 10+ years of production-level experience as an engineer building highly scalable and reliable infrastructure
• Strong background in architecting or implementing AI-driven features - with the ability to translate AI capabilities into scalable and performant products
• Proven track record in end-to-end architecture and delivery - guiding large teams (50+ engineers) across multiple product areas from initial conception through maturity.
• Ability to lead and mentor senior engineering talent, shaping architecture decisions and technical direction across multiple teams
• Demonstrated success evaluating and adopting emerging technologies to drive company-wide technical strategies
• Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
• Deep hands-on expertise with cloud infrastructure (AWS preferred), event streaming (Kafka), data processing (Databricks and Kafka), and large-scale database systems
• Familiarity with database replication, sharding and other techniques for scalability and high availability of databases
• Experience engineering systems for scalability, high availability, and security — with a focus on sensitive or regulated data
• Experience building observability platforms, performance monitoring, and optimization frameworks for large-scale systems and infrastructure.
• Expertise in containerization/orchestration technologies (Docker, Kubernetes) and modern CI/CD pipelines
• Experience with health-tech systems (like Electronic Health Records, Clinical data, etc.) is desired

Physical Requirements:

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.