Top Software Engineer Jobs in Washington, DC

Design, develop, test, and maintain data-intensive applications, scalable data pipelines, backend services, APIs, and AI-powered solutions. Build Spark and Databricks workloads, orchestrate workflows with Airflow, and manage cloud infrastructure with Terraform. Collaborate with architects, product owners, and stakeholders in an agile environment to deliver secure, scalable, high-quality solutions while applying AI-assisted development tools and supporting UI integrations.

Develop and maintain .NET applications, APIs, web services, integrations, automation scripts, and database-driven solutions. Build secure data exchange workflows across enterprise systems, Microsoft 365, SharePoint, Azure, and external APIs. Troubleshoot and optimize applications, document technical solutions, collaborate with stakeholders, and support deployments and user adoption.

Design, build, and maintain blockchain and payments infrastructure; develop scalable microservices and secure RESTful APIs to transfer value across blockchain and banking protocols; integrate with banks and fintech; own system design, testing, deployment, and troubleshooting; ensure reliability, code quality, and strong test coverage while collaborating with product and engineering teams.

Develop and operate workforce analytics software using Python, SQL, Airflow, BigQuery, GitHub Actions, and BI integrations. Responsibilities include building data models and metric logic, maintaining workflows, implementing security and quality controls, supporting releases, diagnosing defects, and improving the Apache Superset platform. The role collaborates with data engineers, analysts, HR partners, and governance teams while documenting data lineage, validating metric behavior, and maintaining production software.

Develop Python-based automated tests, validation tools, analysis utilities, and quality metrics for autonomous systems. Support testing across simulation, SIL, HIL, VIL, laboratory, and hardware environments. Analyze results, debug integration issues, improve regression and performance testing, integrate tests into CI/CD workflows, and collaborate with autonomy, systems engineering, flight test, and integration teams.

Develop Python-based automated testing, simulation analysis, log-processing, scenario-generation, and domain-randomization tools for the Hivemind Platform. Support test orchestration, distributed simulation, containerized environments, CI/CD, build troubleshooting, and technical documentation. Investigate failures using logs, telemetry, rosbags, network captures, and test results while collaborating with autonomy, systems, and platform engineers.

Develop Python-based automated tests, validation tools, regression and performance testing workflows for autonomy software. Support SIL, HIL, VIL, simulation, laboratory, and hardware testing; analyze results, debug integration issues, create quality metrics and readiness reports, and integrate testing into CI/CD pipelines. Collaborate with autonomy, systems, flight-test, and integration teams working with robotic platforms, sensors, flight controllers, networking equipment, and mission computers.

Develop Python-based tools for simulation-data analysis, log processing, automated testing, scenario generation, and autonomy performance evaluation. Support test orchestration, distributed simulation, containerized environments, CI/CD, infrastructure configuration, debugging, and developer documentation. Collaborate with software, autonomy, systems, and platform engineers while contributing to reliable and repeatable Hivemind Platform testing workflows.

Develop C++ software interfaces connecting autonomy software with sensors, flight controllers, payloads, radios, and vehicle systems. Configure Linux mission computers, implement communication protocols, develop Python testing tools, and debug distributed-system data flow. Support software, hardware, vehicle, laboratory, and field integration testing while collaborating with autonomy, systems, test, and flight teams.

Develop and maintain front-end and back-end components for the FBI FDP system using Java, React, and PostgreSQL. Responsibilities include requirements analysis, testing, QA, code reviews, architecture participation, code integration, CI/CD, deployments, version control, and operations optimization. The engineer will collaborate with product, business analysis, and testing teams within an agile development environment to deliver enterprise application features through the full software development lifecycle.

Design, develop, and deploy cloud applications in a secure Army cloud environment. Modernize a large-scale document management and search platform, optimize indexing and metadata for over 100 million documents, integrate generative AI and machine learning, and improve scalability. Responsibilities also include cloud security controls, system administration, DevSecOps, CI/CD, database optimization, user interface development, maintenance, and support within a hybrid government environment.

Develop and maintain full-stack web applications for a secure government environment. Responsibilities include building React front ends and Python backends, designing PostgreSQL databases, deploying applications to AWS, supporting CI/CD and DevSecOps processes, troubleshooting production issues, participating in code reviews, optimizing performance, and documenting technical solutions. The role collaborates with engineers, architects, administrators, and government stakeholders to deliver scalable, secure cloud applications.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Develop and maintain Java web applications that interact with databases. Responsibilities include gathering requirements, writing Java and SQL code, optimizing database queries, supporting backend development and data integration, applying Agile and software development best practices, and collaborating with technical teams to deliver quality code.

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.

Designs, develops, deploys, and maintains software applications, APIs, analytics solutions, AI-enabled capabilities, and automation services. Builds CI/CD pipelines, automated testing, governance controls, and monitoring processes. Integrates AI models and services such as LLMs, OCR, NLP, and ranking models into mission applications. Collaborates with stakeholders, documents technical solutions, and improves system reliability, security, scalability, and operational effectiveness.

Build and maintain scalable, browser-based applications for data-heavy workflows, including map-based, visualization, and live multi-user interfaces. Develop shared frameworks, APIs, and data schemas while collaborating with designers, backend engineers, and users. Own features from concept and prototyping through release and maintenance, translate user needs into UX decisions, and deliver incrementally in a CI/CD environment.

Develops and integrates flight and ground software for spacecraft bus functions, instrument control, onboard data processing, commanding, telemetry, fault detection and recovery, and real-time control. Responsibilities include boot code, algorithm development, requirements analysis, hardware/software trade-offs, software testing, documentation, and maintaining complex safety-critical systems. The role also supports system integrity, software reuse, risk mitigation, cost and schedule control, and large-scale integrated software projects.

Develop and test C++ and Python software, embedded firmware, autonomy features, simulation tools, and testing infrastructure for UAV systems. Work with sensors, perception, planning, mission systems, and real or simulated data. Investigate failures using logs and telemetry, support hardware- and software-in-the-loop integration, collaborate with multidisciplinary engineering teams, document workflows, and participate in code reviews and design discussions.

Work onsite with government customers to configure, customize, and support ConductorAI. Write production Python and TypeScript code, debug and improve reliability, gather user feedback, deliver technical demos, and collaborate with product to ship features. Travel frequently to customer sites and help automate operational workflows while contributing to company strategy and culture.

Design, implement, deploy, and operate large-scale distributed backend systems and Azure infrastructure for AI-driven insights. Apply generative AI/ML, build IaC and CI/CD pipelines, support live-site operations, and execute onboarding and operational tasks for GCC‑High/DoD environments while ensuring security, observability, and cross-team collaboration.

Designs, develops, tests, debugs, enhances, and integrates software applications for federal government customers. The role researches emerging technologies, addresses hardware and software compatibility issues, contributes to technical documentation, troubleshoots application and hardware problems, supports customers, and prepares project reports. This onsite Washington, DC position requires an active Top Secret clearance with SCI eligibility, a bachelor's degree or equivalent experience, and CompTIA Security+ certification.

Software Engineer Interns design, build, test, and debug production-quality software for autonomous systems. Projects may involve applications, embedded flight software, firmware, machine learning, simulation, APIs, data pipelines, or cloud infrastructure. Interns analyze requirements, collaborate with engineers using Agile practices, and deliver real features or capabilities during a 10–12 week paid internship.

Develop production perception software for autonomous systems, spanning algorithms, modern C++ libraries, integration, testing, validation, and SDK delivery. Work across object detection, tracking, computer vision, sensor modeling, mapping, and multi-sensor fusion. Diagnose complex system behavior, improve architecture, review designs, mentor engineers, and convert research or partner technology into dependable, reusable product capabilities. Evaluate foundation-model applications for autonomy and perception workflows.

Develop and maintain production numerical software in Python for electromagnetic sensing systems. Architect APIs and integrations, optimize signal-processing code through vectorization, JIT, GPU acceleration, or compiled bindings, and establish testing and CI practices. Partner with signal-processing engineers to productionize algorithms from research and MATLAB prototypes. The role requires on-site work in Washington, D.C., periodic travel up to 30%, U.S. citizenship, and eligibility for a security clearance.