Top Software Engineer Jobs in Washington DC,

Leads and manages software engineering teams while providing hands-on technical leadership. Responsibilities include hiring, mentoring, resolving complex technical issues, designing and developing applications, modernizing Agile software development lifecycles, conducting code reviews, managing risks, and documenting technical solutions. The role requires collaboration with stakeholders and leadership to establish priorities and deliver complex software solutions.

Owns and supports risk, compliance, and information governance applications, including IntApp platforms. Responsibilities include troubleshooting, administration, SaaS upgrades, requirements gathering, technical solution design, documentation, QA support, user training, vendor management, integrations, and IT change and incident management. The role partners with business, IT, InfoSec, and project management teams while advising on application capabilities, security, data governance, and product roadmaps.

Leads design and development of complex custom ServiceNow applications integrated with AWS, Kafka, and Elasticsearch. Develops server-side and client-side functionality, APIs, workflows, data models, security controls, and integration patterns. Establishes coding standards, reviews code, mentors developers, troubleshoots complex issues, defines testing strategies, and supports releases and production operations. Produces technical designs, interface documentation, data mappings, deployment procedures, and operational documentation.

Develop and maintain Microsoft Power Platform solutions supporting federal acquisition operations. Build PowerApps, Power BI dashboards, Power Automate workflows, and SharePoint integrations; automate processes; transform acquisition data into insights; and ensure security, accessibility, and records-management compliance. The role also involves stakeholder collaboration, troubleshooting, documentation, training, technical support, and researching new platform capabilities. Candidates need 7–10 years of IT development experience, including 3–5 years with Power Platform solutions, plus eligibility for Public Trust clearance.

Deploy and operationalize Dynamo's AI assurance platform for public sector customers. Responsibilities include writing code, building integrations, creating prototypes and demos, supporting cloud, hybrid, on-premises, and air-gapped deployments, troubleshooting complex implementations, and translating customer mission needs into solution architectures. The role requires close collaboration with customer engineering, security, product, and government stakeholders, with regular on-site engagement and up to 50% travel.

Develops and maintains full-stack software within a remote Agile DevOps team. Responsibilities include requirements analysis, solution design, Java and frontend development, REST APIs, data access layers, database schemas, automated testing, CI/CD implementation, and Docker-based development. The role also supports quality, security, and deployment standards while collaborating within a Scrum team.

Build and maintain scalable full-stack web applications using .NET, React, Next.js, and Azure. Responsibilities include feature delivery, API and microservices development, testing, code reviews, architecture, performance optimization, security, CI/CD support, cloud deployment, and production support. Senior engineers will mentor teammates and influence engineering standards, while early-career engineers receive mentorship and progressively greater ownership.

Senior hands-on architect and engineering leader responsible for designing and delivering API, microservice, middleware, and data integration solutions for wealth and asset management platforms. Partners with product, data, security, and vendor teams to build secure, resilient, observable integrations involving Canoe, Snowflake, Addepar, and related reporting and portfolio systems while ensuring regulatory compliance, architecture governance, and production support.

Develop and maintain responsive, accessible web applications supporting Smithsonian digital experiences. Integrate front-end interfaces with Drupal and REST APIs, optimize performance, write tests, conduct code reviews, troubleshoot cross-browser issues, and collaborate with UX/UI designers, backend engineers, Agile teams, and museum stakeholders.

Build and maintain Python backend services, APIs, data pipelines, and internal applications while owning production deployment and support. Apply machine learning, statistical modeling, and scientific Python to forecasting and business analytics. Design data models, optimize queries, integrate enterprise systems, and deploy ML models. Collaborate with business stakeholders, document technical work, resolve production issues, and improve engineering processes and infrastructure.