Infrastructure Engineer

Title: Infrastructure Engineer

Location: NYC or DC

Reporting To: CEO

About Adelphi: Adelphi is building AI/ML-enabled secure data access and intelligence data sharing technology for U.S. intelligence and defense communities. We are solving the problem of siloed data and slow intelligence dissemination. Adelphi’s data connector software with clean rooms technology enables secure, federated data discovery, reducing intelligence-sharing time from months to seconds while maintaining strict security and privacy protocols. Adelphi closed a $7mm seed round in August 2025; our customers are across Intelligence and Defense orgs.

Our product builds on top of current intelligence applications and brings together publicly available and first-party data to streamline intelligence work. Adelphi’s goal is to eliminate data silos that block information flow, build trust in automation without compromising security, and improve data sharing.

About the Role: By joining Adelphi as part of the founding Engineering team, you will be at the forefront of developing secure data sharing middleware in the national security and intelligence sectors. Our software will integrate seamlessly into the workflows of Case Officers, Special Ops Officers, and Case Management Officers, ensuring secure and efficient data access throughout the asset recruitment process.

The data infrastructure engineer requires a mix of software development and ML Ops practices, resulting in an exciting, fast paced engineering role. The right candidate will be able to demonstrate experience building, shipping and supporting mission critical services in support of the services that comprise the Adelphi Data platform. This role requires the ability to provide solutions for the full data stack - from the data management, software development and model and deployment lifecycles. Experience in the defense or intelligence fields is a plus, but is not required.

Is this you?

• Designing and deploying intuitive, user-friendly APIs.

• Demonstrated ability to train and deploy models at scale

• Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments.

• Handling and securing large-scale production data.

• Demonstrated proficiency and ML development experience in Python/JS.

• A proactive approach to tackling complex challenges in a fast-paced, early-stage environment.

• A passion for innovation and a collaborative spirit.

Bonus Points:

• Experience in government (DoD, Intel, etc.) engineering.

• Experience in building and deploying ML-operated Search at the Enterprise level.

• Proficiency in infrastructure management (Docker, Kubernetes, AWS).

• Expertise in encryption, authentications3, DevOps, or SRE.

Benefits:

• Competitive salary and equity compensation.

• Physical and Mental Health benefits.

• Opportunity to work on impactful projects in the national security sector.

• A dynamic and innovative work environment.

• Career growth and development opportunities.