Federal Deployment Engineer

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for: 

• BigID named one of Forbes America's Best Startup Employers 2026 - ranked #15 overall and #1 in Security
• BigID named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards
• Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
• CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running)
• DUNS 100 Best Tech Companies to Work for
• Top 3 Big Data and AI Vendors to Watch in the 2023 BigDATAwire Readers and Editors Choice Awards
• 2024 Inc. 5000 list for the 4th consecutive year!
• Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity

At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

• →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 sources, mission workflows, and system-of-record requirements.
• →Debug at the source: read logs, trace services, reproduce issues, and either patch them or hand R&D a clean, reproducible bug report.
• →Apply Agile/DevOps/CI/CD practices, test automation, and 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/non-relational databases.
• →Document technical work clearly and communicate effectively across engineering, customer, and agency stakeholder groups.

• An active U.S. Government Secret clearance or higher, held at time of application (see Clearance & Eligibility above).
• Minimum 5 years combined experience across pre-sales engineering and hands-on software development — you can point to both code you've shipped and deals you've won.
• Prior experience working with or within U.S. Federal agencies or defense-related organizations.
• Strong hands-on development skills in Python, plus 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: RDBMS systems; NoSQL data stores (MongoDB, Cassandra, DynamoDB); Hadoop technologies (HDFS, Hive, HBase); or cloud technologies (AWS GovCloud, EMR, S3, DynamoDB, Redshift, Azure Government, Azure file and blob storage).
• Comfort troubleshooting and building 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 diverse audiences — executives, business stakeholders, and technology practitioners.
• Composure and executive presence under scrutiny — able to stay credible and calm when challenged live by agency security architects or senior stakeholders, defending technical claims with evidence rather than deflection.
• Self-directed with high ownership — thrives with minimal oversight across long federal sales cycles, sets priorities across concurrent agency engagements, and follows through without being chased.
• Bachelor's degree in Computer Science or a related discipline.
• Ability to exercise independent judgment with little or no oversight.

• Federal procurement fluency — working knowledge of contract vehicles and buying paths (GSA MAS, SEWP, GWACs, OTAs), and experience partnering with system integrators, resellers, and channel teams.
• Experience building on or securing AI systems: 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.