---
title: 'Senior Software Engineer, Rust at Adelphi'
canonical: 'https://feeny.ai/job/senior-software-engineer-rust-adelphi-mclean-a6csx4dsgrba'
type: 'job'
last_seen: '2026-10-28'
---

# Senior Software Engineer, Rust at Adelphi

- **Company:** Adelphi
- **Location:** Mclean, VA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.ashbyhq.com/adelphi-ai/32fb57f7-0463-4683-9419-c3da17741720

## Job description

## About Adelphi

Adelphi's Vision is to build the biggest AI Deployment company for National Security, which requires talent that is extremely good at problem solving, gets excited about National Security challenges, and thrives in software factories. We're executing a Mission that (1) Identifies the core bottlenecks in Warfighting, Intelligence and the Enterprise, (2) Assigns top talent with backgrounds in systems and machine learning engineering, and (3) Finds repeatability in solution development to target similar offices across the DoW/IC. The business has 10x'd in under two years and has built trust with the senior most leaders at the Department of War and Intelligence Community. About the Role: As Senior Software Engineer, you will be making technical direction and architectural decisions for the platform and writing a large share of its code. Our core is Rust: a single binary that serves as the AI/API gateway, policy engine, and Kubernetes controller, and a separate Rust ingestion worker that runs in Customer environments. Around it sit Helm charts and Argo CD for a GovCloud EKS cluster, Terraform for the infrastructure underneath, and Python internal tools. This role requires a mix of Rust application development and DevOps/Kubernetes practice. Expect the split to be roughly 70/30 Rust to infrastructure. The right candidate will bring deep experience building, shipping, and supporting mission-critical services and can be productive in this codebase within weeks, not months. Experience in the national security field is a strong plus to best understand Customer requirements and how that will drive the product roadmap. We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how you design, build, ship, and debug software as an integral, daily extension of your workflow. Clearance Requirement: An active U.S. Government Secret clearance is not required. Candidates must be U.S. citizens and be eligible to maintain and upgrade clearances as the role requires. Candidates need to be excited to work for the Defense and Intel Communities, and to apply AI to real applications for Government. Is this you? We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.

- Technical Leadership: You have 8+ years of experience with meaningful time at Senior level or above. You own architecture for mission-critical production systems, think in systems and trade-offs, and thrive in ambiguous environments with high ownership.
- Domain & Tech Stack: You are proficient in Rust and have shipped production services in it (async/tokio, hyper or axum, serde, and a strong instinct for ownership and error handling). You are also proficient with Python (FastAPI, Flask, or Django) and comfortable owning the tooling around a service. Kubernetes experience (Helm, Argo CD, EKS) and AWS are strongly preferred; Terraform is a plus. Experience handling and securing large-scale production data, and experience in government or national security environments, are strong pluses.
- AI-Native by Default: You use AI coding tools daily and instinctively, prompt-engineer through complex architecture and debug sessions, and maintain a clear-eyed view of AI limitations in high-security contexts. You know when to trust AI-generated output and when to verify.
- Mission-Driven: You are excited by how AI enables better solutions to hard, long-standing problems like data sharing, and you want to see that work deployed in environments where it matters.

Bonus Points:

- Security engineering: FIPS cryptography, mTLS and SPIFFE workload identity, policy engines, or RMF/ATO compliance work.
- SRE experience: on-call ownership, observability, and incident response for production Kubernetes services.
- Infrastructure as code with Terraform and GitOps, including air-gapped or on-premise deployments.
- Production experience launching agentic services leveraging LLMs, embeddings, and inference.

## About Adelphi

## Company Overview
- **One-liner**: Adelphi provides secure, federated data connectivity for intelligence and defense organizations, enabling zero-movement data sharing, AI-powered analysis, and collaboration across siloed, sensitive environments.
- **Entity Type**: Private (Seed stage; raised $7M)
- **Headquarters**: New York, United States
- **Founded**: Not publicly disclosed (earliest public mention is August 2025 fundraise announcement)
- **Founders**: Not publicly disclosed (team page indicates a "CEO + Co-founder" and "Board Director and Co-Founder" but names are not included in available materials)

## Core Business
- **Primary Industry**: National security, defense intelligence, secure data infrastructure
- **Target Customers**: B2G – U.S. Intelligence Community (IC), Department of Defense, allied nations, and other classified/mission-critical environments
- **Mission Statement**: "To build technology that allows the Intelligence Community and Defense organizations to truly operate at speed of mission." [adelphi.ai/team](https://www.adelphi.ai/team)

## Products & Services
- **Adelphi Connector (Federated Data Connectivity)**: A modular, permission-based platform that connects to data sources in place – no ETL, no duplication. Enables real-time discovery and query across hundreds of databases, clouds, and air-gapped networks. Integrates with existing analyst workflows. [adelphi.ai](https://www.adelphi.ai/)
- **Privacy-Preserving Clean Rooms**: Controlled, auditable, non-attributable environments for sharing operational data across networks and organizations without moving or exposing raw data. [adelphi.ai](https://www.adelphi.ai/)
- **AI-Powered Data Connectivity**: AI-driven connectors that automatically discover and integrate diverse data sources with minimal setup. Supports MCP and equivalent agentic frameworks for automated intelligence workflows. [adelphi.ai/why-adelphi](https://www.adelphi.ai/why-adelphi)
- **Confidential Computing**: Secure execution environments that keep data encrypted, isolated, and auditable during processing. [adelphi.ai/why-adelphi](https://www.adelphi.ai/why-adelphi)

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding $7.1M (Seed round, August 2025)
- **Notable Investors/Partners**: Led by **Eniac Ventures** (Tim Young). Participants include **Flex Capital**, **Shaper Capital**, **Afore Capital**, **Essence Capital**, **Octave Capital**, plus unnamed angel investors. [adelphi.ai/fundraise-announcement](https://www.adelphi.ai/fundraise-announcement)
- **Growth Signals**: 
  - 83.3% year-over-year headcount growth (from 7 employees, per LinkedIn) [linkedin.com/company/adelphi-data](https://www.linkedin.com/company/adelphi-data)
  - Raised $7M seed round in August 2025 to accelerate product development and team expansion
  - Active hiring across engineering, product, and customer success roles

## Competitive Advantages
- **Zero Data Movement**: Federated architecture queries data in place, eliminating the security and compliance risks of traditional ETL and data migration.
- **Purpose-Built for Sensitive Environments**: Works across air-gapped networks, hybrid clouds, and compartmented systems with cryptographic trust boundaries and full audit trails.
- **Policy-Driven Access Control**: Permissions, time, and purpose govern data access – data owners retain control without copying data into a central repository.
- **AI-Native Integration**: Connectors support MCP and agentic frameworks, enabling automated discovery and analysis without manual configuration.
- **Domain Expertise**: Team members have deep operational and technical experience inside the national security and intelligence ecosystem, designing solutions that match how analysts actually work. [adelphi.ai/team](https://www.adelphi.ai/team)

## Strategic Focus
- Accelerate product development and scale the platform for broader deployment across U.S. and allied intelligence agencies.
- Expand the team across engineering, product, and customer success to meet growing demand.
- Deepen integrations with existing data sources and workflows, reducing time-to-value for customers.
- Continue to build trust and compliance features (confidential computing, clean rooms) as foundational differentiators.

## Why Work Here
- **Mission-Driven Impact**: Work on a critical national security problem – enabling secure, fast data sharing across the Intelligence Community and defense organizations.
- **Small, High-Growth Team**: 7 employees with 83% headcount growth in the last year; new hires will have significant ownership and influence.
- **Talent & Culture**: The team includes veterans from heavy regulated industries (Datavant, Reflexive Concepts, Equinix, etc.) who are "re-envisioning how secure data sharing can better unlock intelligence organizations' capabilities." [linkedin.com/company/adelphi-data](https://www.linkedin.com/company/adelphi-data)
- **Work Environment**: Headquarters in New York. Remote/hybrid policy not specified (likely flexible for the right candidates). Roles currently open include Senior Machine Learning Engineer, Senior Software Engineer, and Senior Product Manager. [jobs.ashbyhq.com/adelphi-ai](https://jobs.ashbyhq.com/adelphi-ai)
- **Technical Focus**: Emphasis on cutting-edge AI, confidential computing, and secure distributed systems – a strong fit for engineers interested in applied cryptography, data infrastructure, and national security technology.

## Sources
1. [adelphi.ai – Home](https://www.adelphi.ai/)
2. [adelphi.ai/team](https://www.adelphi.ai/team)
3. [adelphi.ai/why-adelphi](https://www.adelphi.ai/why-adelphi)
4. [adelphi.ai/fundraise-announcement](https://www.adelphi.ai/fundraise-announcement)
5. [LinkedIn – Adelphi Data](https://www.linkedin.com/company/adelphi-data)
6. [Careers Page – jobs.ashbyhq.com/adelphi-ai](https://jobs.ashbyhq.com/adelphi-ai)

## Other roles at Adelphi

- [Recruiter](https://feeny.ai/job/recruiter-adelphi-washington-3nf6b9c7vv14) — Washington, DC
- [Product Owner](https://feeny.ai/job/product-owner-adelphi-mclean-z15dbqnd4mdg) — Mclean, VA
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-adelphi-washington-hf17g79z509b) — Washington, DC
- [Senior ML Engineer](https://feeny.ai/job/senior-ml-engineer-adelphi-washington-6adhvb5mbjhf) — Washington, DC
- [Senior Software Engineer, Rust](https://feeny.ai/job/senior-software-engineer-rust-anduril-industries-waltham-8gbqp4pcpm1x) — Waltham, MA
- [Senior Software Engineer, Rust](https://feeny.ai/job/senior-software-engineer-rust-anduril-industries-broomfield-xqc74sa8pbd5) — Broomfield, CO