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Exiger

AI-driven supply chain risk platform

Database Engineer - Public Sector

Database AdministrationConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of production database engineering at scale on at least one major relational engine; PostgreSQL is preferred, with Aurora, MySQL, or Oracle depth also acceptable.
  • Strong query plan literacy, including the ability to read EXPLAIN ANALYZE and reason about query plans without a profiler.
  • Production experience with zero-downtime schema migrations on live traffic.
  • Production experience with at least one OLAP or analytics store: Redshift, Snowflake, BigQuery, or ClickHouse.
  • Production experience on AWS, particularly RDS or Aurora; PostgreSQL flavor is preferred.
  • Hands-on experience inside a FedRAMP Moderate or High boundary.
  • Experience building database patterns, tooling, or standards consumed by teams beyond one's own; central DBRE or DBA practice experience is directly relevant.
  • Familiarity with the database side of an ATO continuous-monitoring cycle.
  • Comfort explaining data residency, retention, and encryption decisions in front of a customer.
  • Ability to obtain and maintain a U.S. Government security clearance.

Responsibilities

  • Own the reference database posture adopted by programs, including instance design, replication topology, parameter tuning, connection management, and query plan health.
  • Set and govern schema conventions across programs, treating schema as an interface consumed by other engineers and conventions as a product they inherit.
  • Build reusable backup, restore, and disaster-recovery patterns and tooling, validated through real recovery drills rather than program-by-program improvisation.
  • Own database security patterns inside the FedRAMP boundary, including encryption at rest and in transit, least-privilege access, and audit logging, replicated across engagements.
  • Build and maintain zero-downtime migration and schema-change tooling that program teams use on live traffic.
  • Partner with Platform Engineering on shared infrastructure, including cluster topology, parameter groups, snapshot policy, and monitoring, and with Data Engineering on the production-to-analytics seam.
  • Support program teams operating on the database patterns and carry on-call escalation for the data plane across the portfolio.
  • Participate in customer-context conversations about data posture, including residency, retention, encryption, and access, across programs.

Desired Qualifications

  • Hands-on experience with both row-store and column-store engines in the same environment.
  • Familiarity with logical replication topologies, including Postgres logical replication and AWS DMS, for CDC into an analytics layer.
  • Experience with vector storage, including pgvector, OpenSearch k-NN, or Pinecone, for ML retrieval workloads.
  • Experience with database security tooling at federal grade, including TDE, Vault, or AWS KMS with customer-managed keys.
  • PostGIS or other spatial extension experience for geospatial domains.
  • Experience operating in IL5, IL6, or JWICS environments.
  • An active U.S. Government security clearance is preferred; Secret is the minimum for most engagements, while TS or TS/SCI is required for a subset.

About the Company

Exiger

AI-driven supply chain risk platform

Exiger provides supply chain risk and resilience software, offering the 1Exiger platform to give organizations end-to-end visibility into risk across their third-party and supplier networks, down to the nth tier. The platform uses AI to screen for sanctions and adverse media, assess third-party risk, and automate due diligence for banks, government agencies, defense contractors, and Fortune 500 companies, producing auditable decision records. Exiger differentiates itself with proprietary data assets and an AI-native approach focused on comprehensive third-party risk management and supply chain transparency, supported by strategic acquisitions and large investments. Its goal is to help organizations manage supplier risk and financial crime exposure while enabling trustworthy, auditable decisions across complex networks.

Company size
501-1,000
Company stage
Acquired
Total funding
$112M
Headquarters
New York City, New York
Founded
2013

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