• Companies
  • News
By technology
  • Python17.1k
  • AWS11.9k
  • Kubernetes8.5k
  • Docker8.2k
  • C++5.7k
  • PostgreSQL5.4k
  • SQL5.1k
By category
  • Backend Developer11.5k
  • DevOps Engineer3.5k
  • Machine Learning Engineer3.3k
  • Full Stack Developer3.2k
  • Data Engineer2.8k
  • Embedded Engineer2.2k
  • Frontend Developer863
By city
  • San Francisco, CA6.2k
  • New York, NY5.6k
  • Seattle, WA1.3k
  • Washington, DC1.2k
  • Toronto, ON1.2k
  • Boston, MA1k
  • Austin, TX1k
Work mode
  • On-site22k
  • Remote10.2k
  • Hybrid7.3k
Job type
  • Full-time38.2k
  • Contract601
  • Part-time529
  • Freelance215
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
1,203 matches
NewestHighest base
Adelphi

Senior Software Engineer, Rust

today
Adelphi · McLean, VA
HybridFull-timeRust · Python
Adelphi

Product Owner

today
Adelphi · McLean, VA
HybridFull-timeJira · Linear
Adelphi

Machine Learning Engineer

today
Adelphi · Washington, DC
HybridFull-timeLangGraph · OpenAI Agents SDK
Adelphi

Information Systems Security Manager (ISSM)

today
Adelphi · Washington, DC
HybridFull-timePalantir Foundry · Databricks
Adelphi

Senior ML Engineer

today
Adelphi · Washington, DC
HybridFull-timeLangGraph · OpenAI Agents SDK
Emerald AI

Member of Technical Staff - Research

today
Emerald AI · San Francisco, CA
HybridFull-timeC++ · Python
Emerald AI

Member of Technical Staff - AI Cloud Infrastructure

today
Emerald AI · San Francisco, CA
HybridFull-timeKubernetes · Slurm
Emerald AI

Senior Product Manager, AI Cloud Services

today
Emerald AI · San Francisco, CA
HybridFull-timeKubernetes · Slurm
Emerald AI

Senior Product Manager, Compute Platform

today
Emerald AI · San Francisco, CA
HybridFull-timeKubernetes · Slurm
Emerald AI

Member of Technical Staff - Backend/Distributed Systems

today
Emerald AI · San Francisco, CA
HybridFull-timeKubernetes · Slurm
Ditto

Senior Forward Deployed Engineer - Platform

today
Ditto · San Francisco, CA
$188k–240kOn-siteFull-timeKubernetes · AWS
Ditto

Senior Technical Program Manager

today
Ditto · Atlanta, GA
$162k–226kRemoteFull-timeArgoCD · AWS
Method Financial

Software Engineer

today
Method Financial · New York, NY
$175k–215kHybridFull-timeJavaScript · Node.js
Method Financial

Senior Software Engineer

today
Method Financial · New York, NY
$205k–240kHybridFull-timeJavaScript · Node.js
Valinor Enterprises, Inc.

Embedded Software Engineer

today
Valinor Enterprises, Inc. · Washington, DC
On-siteFull-timeC++ · C
People Culture Talent

Security Engineer

today
People Culture Talent · San Francisco, CA
HybridFull-timeAWS · Azure
People Culture Talent

Infrastructure Engineer

today
People Culture Talent · San Francisco, CA
HybridFull-timeAWS · Azure
People Culture Talent

Forward Deployed Engineer (FDE)

today
People Culture Talent · San Francisco, CA
HybridFull-timeAWS · Azure
People Culture Talent

Founding Engineer

today
People Culture Talent · San Francisco, CA
HybridFull-timeAWS · Azure
Promise

Software Engineer - Platform & Infrastructure

today
Promise · Washington, DC
$165k–190kHybridFull-timeGoogle Cloud Platform · Kubernetes
  • Previous
  • 1
  • More pages
  • 18
19
  • 20
  • More pages
  • 61
  • Next
  • Adelphi

    Senior Software Engineer, Rust

    Adelphi · 🇺🇸 McLean, VA · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    Hybrid
    Visa
    U.S. citizenship required
    Stack
    Rust, Python, Kubernetes, AWS

    TL;DR

    Senior Software Engineer making architecture decisions and writing much of the code for a Rust platform: an AI/API gateway, policy engine, and Kubernetes controller, plus a Rust ingestion worker deployed in customer environments. Stack includes Helm, Argo CD, EKS on GovCloud, Terraform, and Python tooling, with an expected split of roughly 70% Rust and 30% infrastructure.

    About Adelphi →

    The full posting

    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.