Senior/Staff Software Engineer, Lambda

• Are an experienced senior software engineer with six or more years of working on business-critical distributed systems
• Have a history of leading projects from inception to production, including making technical decisions, authoring design and decision documents, and advising on staffing needs
• Have significant experience architecting systems around relational databases, document databases, queue datastores, block storage, object storage, unreliable networks, and caches
• Have a deep understanding of the balance between initial build costs and operational costs, and what it takes to launch a product quickly but with a good technical foundation
• Can write both Go or Python to a high level, and can pick up other languages as needed
• Have good knowledge of distributed data processing frameworks like Apache Spark, Flink, Beam, etc and batch orchestration frameworks like Apache Airflow
• Are very familiar with building integrated test frameworks and using CI/CD systems
• Are product-oriented and focused on great user experiences, and are invested in building the best product possible for users
• Are good at working cross-functionally and solving problems across teams, including empathetic conflict resolution when working alongside teams with different priorities

Desirable

• Work with management, product and other internal business partners to drive technical decisions based on business and market needs
• Work on the architecture of our distributed systems to ensure best-in-class reliability and efficiency, while helping to minimize operational costs and toil work
• Provide your team empathetic leadership as well as mentorship to grow their own skills and abilities
• Build products that provide billing and identity for a wide range of AI products that will be launched by Lambda
• Handle interesting and dynamic scaling, hardware and scheduling challenges in a very dynamic and rapidly changing industry sector