Top Software Engineer Jobs in Washington DC,

Build and enhance cloud-based applications for mission-critical workloads. Responsibilities include designing, coding, testing, debugging, integrating, and deploying application modules; developing CI/CD pipelines; applying cloud-native, DevOps, security, scalability, and performance practices; and collaborating with project managers and development partners to deliver, monitor, and support cloud services.

Leads the engineering team building Circle’s customer onboarding and lifecycle management platform. Responsibilities include developing scalable onboarding automation, customer lifecycle capabilities, partner-facing APIs and SDKs, compliance tools, and product-specific verification workflows. The role owns architecture, reliability, security, operational excellence, cross-functional delivery, hiring, coaching, and development of senior and staff engineers across risk, compliance, fraud, product, and engineering teams.

Design and implement integration solutions and platform architectures to enable efficient data flow and hybrid cloud operations. Collaborate with clients to translate business requirements into technical designs, lead enterprise application integration and API strategies, manage project lifecycles, troubleshoot processes, and mentor junior team members to improve operational efficiency in banking environments.

Build and deploy data-driven software solutions directly with customers. Responsibilities include understanding complex operational problems, designing architectures, wrangling large-scale data, coding custom web applications, collaborating with technical and non-technical teams, engaging customer executives, and owning high-stakes projects end to end with minimal supervision.

Build and own a React and three.js real-time 3D rendering layer for browser-based mission software. Render spacecraft, orbits, sensor volumes, live telemetry, and mission data at trusted frame rates. Translate design concepts into polished front-end components and interactions, manage 3D scenes, shaders, lighting, cameras, and level of detail, and prototype visual experiences. Collaborate with data and platform engineers while owning work from prototype through production, including performance and visual quality.

Supports development, deployment, testing, migration, and sustainment of product lifecycle management solutions using Windchill. Implements configuration management, requirements traceability, data migration, verification and validation, regression testing, and PLM system requirements. Collaborates with engineering teams and subject matter experts, supports digital engineering initiatives, and develops user training. The role also evaluates emerging PLM technologies and assists with integrating legacy systems into a unified PLM architecture.

Leads a team of 10–15 software engineers responsible for Atlassian Government Cloud release infrastructure and processes. Owns release planning, readiness, go/no-go decisions, cutover, verification, rollback, incident escalation, and compliance. Defines a multi-quarter roadmap covering trunk-based development, feature flags, progressive rollouts, automated gates, and rollback automation. Partners across engineering, product, QA, SRE, security, and compliance while coaching team members and improving release reliability.

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.

Leads the Merchant & Pay engineering organization, overseeing managers and teams responsible for merchant, partner, payment, and internal tooling systems. Owns technical strategy, multi-year roadmaps, reliability, scalability, security, engineering standards, and generative AI adoption. Partners with Product, Data, Security, and company leadership while recruiting, developing, and retaining engineering talent. Requires extensive engineering leadership experience, AWS expertise, marketplace or payments experience, and experience scaling business-critical platforms.

Build and lead GM’s Core OS engineering organization for vehicle compute platforms. Define the team charter, hire engineers, establish architecture, and deliver production software supporting hypervisors, virtualization, containers, secure boot, safety monitoring, and Linux, Android, and QNX guest operating systems. Own roadmaps, KPIs, cross-functional integration, vendor partnerships, risk management, and vehicle-program milestones while ensuring scalable, reliable, and updateable platform software.