Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field required.
- 8+ years of production-level experience as an engineer building highly scalable systems.
- 4+ 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)
- Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.
- 8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure
- Experience in designing, building and optimizing data pipelines and ETL processes
- Proficiency in working with large datasets and knowledge of data storage technologies
- Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
- In-depth knowledge of database systems
- Familiarity with database replication, sharding and other techniques for scalability and high availability of databases
- Experience in performance monitoring and optimization of data systems and infrastructure
- Experience with containerization and orchestration technologies such as Docker and Kubernetes
- Experience building continuous integration and continuous deployment(CI/CD) pipelines
- Experience with security and systems that handle sensitive data
Responsibilities:
- Identify and develop scalable and performant solutions.
- Work across discipline to shape product strategy and execution
- Develop the foundations of code architecture and quality.
- Mentor and coach engineers
- Set and uphold the standard for engineering processes to support high-quality engineering.
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