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.
You’ll work day to day with product management, governance, and security: understanding customer requirements, defining data handling guarantees, reviewing designs, and iterating through launch. You’ll stay close enough to customers to understand their privacy and operational needs in depth and to ensure what you’re building is actually right for them.
Engineers here own features end to end, from technical architecture through deployment and the iteration after it. On this team, that includes verifying that sensitive data is protected and the action actually completes. An understanding of durable and fault-tolerant systems is key.
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
Train and/or tune models for detecting data of various forms (including PII and PHI)
Extend redaction and identification to multimodal agents, including images, attachments, voice notes, and documents.
Build monitoring and auditability that make it clear what data was processed, what remains, and where a policy has failed—without exposing sensitive information in the process
Handle data lifecycle systems at scale, including backfills, partial failures, and safe rollouts; your work will touch critical flows for Fortune 100 companies

Senior/Staff Software Engineer, Data Lifecycle at Decagon · LumiJobs

Senior/Staff Software Engineer, Data Lifecycle

Responsibilities

Qualification

Required

Benefits

Company

Decagon

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