Top Software Engineer Jobs in Washington DC,

Leads and develops a software engineering team building customer-facing competitive intelligence products. Responsibilities include setting technical direction, translating priorities into execution plans, guiding architecture and quality, managing incidents, recruiting engineers, improving processes, and promoting responsible AI-assisted development. The role requires close collaboration with Product and Engineering leadership and is based in Rosslyn, Virginia, with at least three office days per week.

Leads the design, development, and operation of scalable backend systems using Golang, AWS, Kubernetes, and Terraform. Defines architecture and technical standards, drives large-scale technical initiatives, ensures reliability and performance, partners cross-functionally, and mentors engineers. The role also involves building distributed microservices, managing cloud-native deployments, and delivering production systems end to end. Experience with video workflows, video analytics, or LLM-powered applications is preferred.

Software Engineering Interns will build and deploy full-stack product features using React, Node.js, SQL, and cloud technologies. Responsibilities include developing search and collaboration workflows, integrating AI capabilities, creating responsive interfaces, instrumenting applications, participating in code reviews and post-mortems, and collaborating with product and design teams. The role is onsite in Washington, DC and requires shipping production features with mentorship.

Build and ship full-stack government software, including AI-powered product features, Palantir integrations, and reliable platforms serving federal agencies. Responsibilities include technical architecture, end-to-end feature ownership, translating agency requirements, setting engineering standards, mentoring engineers, and operating systems under classified data and compliance constraints.

Lead architecture and implementation of Cloudflare Tunnel systems (client and edge services). Design, code, test, monitor, and scale distributed, secure microservices. Mentor peers, drive roadmap, debug production issues, and collaborate with security, SRE, network engineering, and product teams.

Leads Deepgram’s GTM Engineering function, owning CRM, CPQ, forecasting, billing, data, integrations, automation, and internal tooling. Translates commercial needs into scalable systems and AI-powered workflows, establishes engineering standards, connects usage and revenue data, and partners with Product, Engineering, Finance, and Data teams. This player-coach role designs, codes, tests, ships production systems, and develops a small team while prioritizing automation and operational leverage.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.

Develop and architect scalable iOS applications serving millions of users. Collaborate with Product, Design, and Engineering to deliver features, promote clean architecture and iOS best practices, monitor performance and crash analytics, and guide technical excellence. Requires strong Swift, SwiftUI, MVVM, API integration, persistence, testing, and code quality expertise.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.