Software Engineer, Privacy Infrastructure
Designs and operates scalable data infrastructure for privacy, legal compliance, and security workflows, including secure storage, search services, and automated data transfers. Partners with Legal, Security, and engineering teams to build defensible systems handling large-scale data problems.
About the job
Responsibilities
- Design and operate data storage pipelines that can operate at scale.
- Build search & discovery services (e.g., Spark/Databricks, index layers, metadata catalogs) based on the needs of partner teams.
- Automate secure data transfers—encrypting, checksumming, and auditing exports to reviewers.
- Stand up locked-down compute environments that balance usability with security controls.
- Instrument monitoring and KPIs that maintain accountability of data holds and productions.
- Collaborate cross-functionally to codify SOPs, threat models, and chain-of-custody documentation that withstand scrutiny.
Requirements
- Hands-on experience building or operating large-scale data-lake or backup systems (Azure, AWS, GCP).
- Know your way around Terraform or Pulumi, CI/CD, and can turn ad-hoc legal requests into repeatable pipelines.
- Comfortable working with discovery workflows (legal holds, enterprise document collections, secure review) or eager to build expertise quickly.
- Able to communicate technical concepts — from storage governance to block-ID APIs — clearly to teams such as Legal, Engineering, and others.
- Have shipped secure solutions that balance speed, cost, and evidentiary defensibility—and can articulate the trade-offs.
- Communicate crisply, document rigorously, and enjoy working across disciplines under tight deadlines.
Skills
Spark, Databricks, Terraform, Pulumi, CI/CD, AWS, Azure, GCP
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