Responsibilities

• Building and scaling Tecton’s Rift compute engine across multiple cloud providers
• Deep Integrations with Spark (e.g. Databricks, EMR, Dataproc) and Data Warehouses (e.g. Snowflake, BigQuery and Redshift)
• Performant training data computation pipelines from offline stores
• Orchestration platform responsible for reliably and performantly managing compute workloads
• Data engineering for key-value stores and data lakes

Key Responsibilities

• Leading, and coaching a talented engineering team ranging from junior to staff-level engineers
• Building product and infrastructure for Tecton’s Compute platform and enabling customer adoption of new features
• Recruiting top-tier engineering talent, building an organized and sustainable team, and partnering with internal and external stakeholders
• Partnering with cross-functional teams to build product vision and strategy
• Efficiently executing on an aggressive product roadmap by building new features and managing technical debt levels

Qualifications

• 7+ years of software engineering experience for high-scale products or infrastructure
• 2+ years of people management 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
• Product and user-first mindset with attention to UX detail
• 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