Senior/Staff Software Engineer, Data Lifecycle

Job summary

Responsibilities

You’ll design and build the platform infrastructure that let customers control how their data is collected, retained, redacted, and deleted. That means strong engineering underneath, and clear abstractions on top that hold up across different enterprise requirements without forking per customer.

• Build PII handling and redaction systems that identify and protect sensitive information across conversations, agent traces, and other customer data
• Design configuration abstractions for redaction and retention policies that balance enterprise flexibility with clear, safe defaults
• Build reliable data deletion workflows that propagate across storage systems and derived data, with retries, verification, and visibility into failures
• Build self-serve tools and APIs that let customers configure, test, and understand their data lifecycle policies without relying on an engineer
• Build LLM-backed systems that scan and detect data anomalies and violations

What they're looking for

• 4+ years building software products, with strong product thinking
• Proficient in Python, comfortable working across the entire stack
• Experience designing reliable backend systems and data pipelines, including asynchronous processing, retries, and failure recovery
• Understanding of what operational maturity looks like for critical systems, including observability and monitoring
• Complex systems instincts: you can reason about where data flows, where copies persist, and what happens when one part of a workflow fails

Tech stack

• Python