The company is looking to move beyond traditional monolithic SQL engines and batch pipelines by building the next generation of distributed data storage and processing systems that can scale indefinitely, surpass traditional query performance, and offer simple, expressive, and cleanly abstracted interfaces for various data consumers.
Requirements
- 8+ years of production-level experience as an engineer building highly scalable systems.
- 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).
- Experience with AWS technologies, Kafka etc.
Responsibilities
- Identify and develop scalable and performant solutions.
- Develop the foundations of code architecture and quality.
- Experience architecting, developing, and deploying large-scale distributed systems at scale.
- Experience building continuous integration and continuous development (CI/CD) pipelines.
- Experience building scalable and reliable backend systems.
- Experience building ‘platforms’ as an evolution of bespoke softwares.
- Experience with API design and development.
Other
- 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- Mentor and coach engineers.
- Set and uphold the standard for engineering processes to support high-quality engineering.
- Collaborate with cross-functional teams to define and implement technical solutions for complex problems in healthcare.
- Lead and mentor junior engineers, providing guidance and support in their professional development.
