Software Engineer, Compute

As a staff-level engineer building Tecton’s managed compute, you’ll play a critical role in architecting, designing, and scaling our first-ever managed compute platform that will serve as a compute engine used by every Tecton customer. As part of this team, you will be working in one or more of the following areas to build the next generation of Tecton infrastructure:

• Distributed compute and resource management
• Query optimization and distributed execution
• Cross-platform integrations with state-of-the-art data platforms such as Snowflake and BigQuery
• Fault-tolerant workloads on a lambda-based architecture
• Data security 

Responsibilities

• Own and lead large technical domains starting from the problem definition and technical requirements along with implementation and maintenance
• Lead multi-engineer projects of strategic importance to Tecton spanning cross-functional teams including design, product management, and other engineering teams
• Drive efforts to improve engineering practices, tooling, and processes along with mentorship for senior engineers
• Develop a deep understanding of the fundamental problems our customers face in building ML systems
• Be a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatile
• Reinforce Tecton’s “Fast, but Focused” core value

Qualifications and Values

• 7+ years of experience in building product software systems
• 2+ years of technical leadership experience for a group of engineers
• Experience working in large Python, Java, Kotlin, or Go codebases and running cloud-native production systems using Kubernetes, AWS, and Docker
• Experience with distributed systems, SQL, and NoSQL databases
• Bias to action and passion for delivering high-quality solutions
• Strong communication and ability to write detailed technical specifications
• Excitement about coaching and mentorship of junior engineers
• BSc, MS or PhD in Computer Science or related fields