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:
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
