Staff Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 7Company Site

Location

District of Columbia

Posted

26 days ago

Salary

Not specified

Bachelor Degree9 yrs expEnglishAWSS3LambdaRdsPythonJava ScriptDockerKubernetes

Job Description

Company: Adelphi Data, Inc. Company HQ: McLean, VA Reporting To: CEO Title: Staff Software Engineer Role Location: Remote Salary: Competitive Cash + EQ About Adelphi: Adelphi builds AI-enabled data infrastructure for secure data access and intelligence sharing, purpose-built for U.S. intelligence and defense communities. Our platform enables secure data discovery, reducing intelligence-sharing time from months to seconds. Adelphi closed a $7mm seed round in August 2025; our customers are across Intelligence and Defense organizations. About the Role: As Staff Software Engineer, you will be making technical direction and architectural decisions for the platform. This role requires a mix of software development and ML Ops practices. The right candidate will bring deep experience building, shipping, and supporting mission-critical services across the full data stack. 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 they design, build, ship, and debug software as an integral, daily extension of their workflow. Benefits: Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan 401K with 2% company-match $500 monthly Physical and Mental Health benefits. Unlimited time-off policy. Remote office structure. Opportunity to work on impactful projects in national security. Career growth and leadership opportunities.

Job Requirements

  • Is this you?
  • Technical Leadership & Seniority
  • 12–20+ years of experience with meaningful time at Staff level or above.
  • Track record owning architecture for mission-critical, large-scale production systems.
  • You think in systems and trade-offs, communicate clearly to technical and non-technical stakeholders, and thrive in ambiguity with high ownership.
  • Experience shaping engineering culture within government (DoD, Intel) organizations.
  • You are comfortable with ambiguity and high ownership.
  • Domain and Tech Stack
  • You have experience handling and securing large-scale production data
  • Proficiency with AWS (S3, Lambda, RDS), securing large-scale production data, and ML dev in Python/JS.
  • You are excited by how AI enables and demands better solutions to time-old problems like data sharing.
  • AI-Augmented Engineering
  • You use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively.
  • You prompt-engineer through complex architecture and debug sessions, leverage LLMs across the full development lifecycle, maintain a clear-eyed view of AI limitations in high-security contexts, and stay current with emerging models and tooling.
  • Familiarity with MCP or similar LLM integration frameworks.
  • You have a clear-eyed view of AI limitations, you know when to trust AI-generated output and when to verify.
  • You are current with the AI tooling landscape, you experiment with new models on the weekends.
  • Bonus Points:
  • Vector store deployment at Enterprise scale
  • Infrastructure management (Docker, Kubernetes, AWS)
  • Encryption, authentication, DevOps, or SRE expertise
  • Production experience launching Agentic services leveraging LLMs, embeddings, and inference.

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