Software Engineer, Batch Compute

Tecton is building Rift, a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. As a staff-level engineer on the Batch Compute team, you'll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. This role combines customer-obsessed product focus with platform and data engineering innovation.

Responsibilities:

• Own and lead large technical domains
• Lead multi-engineer projects of strategic importance
• Drive efforts to improve engineering practices, tooling, and processes
• Develop a deep understanding of customer problems in building ML systems
• Be a versatile generalist as needed

Qualifications:

• Experience with Python, Java, Kotlin, or Go and cloud-native Spark systems
• Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobs
• Knowledge of data formats and object storage
• Expertise in cloud-scale query performance and optimization
• Experience with distributed systems and databases
• Strong communication skills
• Excitement about coaching and mentorship
• BSc, MS, or PhD in Computer Science or related fields
• 8+ years of experience in building product software systems
• 5+ years of technical leadership experience

Tecton offers competitive salary, equity, and comprehensive benefits. The company values diversity and is an equal opportunity employer.