Senior Data Lifecycle Engineer (Privacy & Infra)

JoinStartup; New York (NY); In loco; USD 200.000 - 400.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Descrizione del lavoro

Decagon is seeking a Senior/Staff Software Engineer for Data Lifecycle in New York City. You will build the platform that governs data collection, retention, redaction, and deletion, with strong emphasis on privacy, safety defaults, and enterprise-grade reliability.

You’ll own end-to-end features from architecture to deployment, collaborating with governance and security teams, ensuring durable, auditable data flows for large-scale enterprise customers.

Competenze

• 4+ years building software products.
• Proficient in Python.
• Experience designing reliable backend systems and data pipelines.
• Understanding of operational maturity (observability/monitoring).
• Strong debugging across deep technology stacks.
• Judgment on fast shipping vs privacy and correctness.

Mansioni

• Build PII handling and redaction systems across conversations and data.
• Design configuration abstractions for redaction and retention policies.
• Build data deletion workflows across storage systems with verification.
• Create self-serve tools and APIs for data lifecycle configuration.
• Build LLM-backed systems to detect data anomalies and violations.
• Extend redaction to multimodal data (images, voice, documents).
• Build monitoring and auditability to show data processing and policy outcomes.

Conoscenze

4+ years software development

Python

Backend design

Observability/monitoring

Debugging deep stacks

Data privacy awareness

Strumenti

Backend systems design

Data pipelines

Observability tooling

LLMs / AI agent systems

Descrizione del lavoro

Decagon is seeking a Senior/Staff Software Engineer for Data Lifecycle in New York City. You will build the platform that governs data collection, retention, redaction, and deletion, with strong emphasis on privacy, safety defaults, and enterprise-grade reliability.

You’ll own end-to-end features from architecture to deployment, collaborating with governance and security teams, ensuring durable, auditable data flows for large-scale enterprise customers.