B

BigID

Scans, classifies, inventories enterprise data.

Federal Deployment Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • An active U.S. Government Secret clearance or higher, held at the time of application; the candidate must be able to maintain the clearance for the duration of employment.
  • At least 5 years of combined experience across pre-sales engineering and hands-on software development, including shipped code and deals won.
  • Prior experience working with or within U.S. Federal agencies or defense-related organizations.
  • Strong hands-on development skills in Python and at least one of Java, Node.js/TypeScript, or Go; fluency with Bash and REST API design and consumption.
  • Production experience with Linux, Docker, and Kubernetes.
  • Familiarity with federal compliance frameworks: FedRAMP, NIST 800-53, FISMA, ITAR, and CMMC.
  • Broad understanding of enterprise data architecture, privacy, and security technologies.
  • Experience with one or more of the following: relational database management systems; NoSQL data stores such as MongoDB, Cassandra, or DynamoDB; Hadoop technologies such as HDFS, Hive, or HBase; or cloud technologies such as AWS GovCloud, EMR, S3, DynamoDB, Redshift, Azure Government, and Azure file and blob storage.
  • Ability to troubleshoot and build in air-gapped or restricted networks without vendor support tooling.
  • Ability to plan, execute, and close out a proof of value with minimal assistance and oversight.
  • Ability to explain complex technical concepts to executives, business stakeholders, and technology practitioners.
  • Ability to remain composed and credible when challenged by agency security architects or senior stakeholders, defending technical claims with evidence.
  • Ability to work independently with high ownership, set priorities across concurrent agency engagements, and follow through with minimal oversight.
  • Bachelor's degree in Computer Science or a related discipline.
  • Ability to exercise independent judgment with little or no oversight.

Responsibilities

  • Automate deployment and configuration of BigID in restricted and air-gapped networks using Docker, Kubernetes, Helm, and infrastructure-as-code.
  • Build and ship custom integrations, connectors, and automation against BigID's REST APIs to meet agency-specific data-source, mission-workflow, and system-of-record requirements.
  • Debug issues by reading logs, tracing services, reproducing problems, patching them, or providing R&D with a clean, reproducible bug report.
  • Apply Agile, DevOps, CI/CD, and test-automation practices, and provide team leadership across multiple workstreams.
  • Use Jenkins, Groovy scripting, and Bash/shell for build and deployment automation.
  • Work across Jira, Confluence, Git, AWS, Docker, and relational and non-relational databases.
  • Document technical work and communicate across engineering, customer, and agency stakeholder groups.
  • Lead customer deployment meetings and implement BigID for federal customers.
  • Remain a trusted technical partner to federal customers as their needs evolve.

Desired Qualifications

  • Federal procurement fluency, including working knowledge of contract vehicles and buying paths such as GSA MAS, SEWP, GWACs, and OTAs, and experience partnering with system integrators, resellers, and channel teams.
  • Experience building on or securing AI systems, including LLM applications, RAG pipelines, agentic workflows, or model training data governance.
  • Prior experience with Identity and Access Management or Data Loss Prevention tools.
  • Open-source contributions or a public portfolio of shipped work.
  • Master's degree in Computer Science or a related discipline.

About the Company

BigID

Scans, classifies, inventories enterprise data.

BigID provides a data management and security platform that scans and inventories enterprise data across cloud, on-premises, and other locations. It classifies data by type (unstructured, structured, and semi-structured) and offers a centralized view to monitor privacy and security risks. The platform integrates with a company’s ecosystem to discover data from multiple sources and help reduce data risk and improve security posture. Its edge comes from broad coverage of both cloud and on-premises data with a unified view of data risk, and it is typically offered on a subscription basis with options for custom demos.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$318.1M
Headquarters
New York City, New York
Founded
2016

Recently Posted Jobs

Explore more opportunities at BigID

See more jobs