Top Software Engineer Jobs in Washington DC,

Develop and customize Guidewire applications supporting insurance policy, billing, and claims functions. Responsibilities include coding, configuration, integrations, testing, troubleshooting, requirements analysis, modernization support, client communication, workstream management, and mentoring junior developers. The role focuses on delivering software solutions across BillingCenter, ClaimCenter, and PolicyCenter while addressing complex technical and business challenges for insurance clients.

Work on customer-facing, high-impact projects as an intern FDSE: design and implement data-driven solutions, wrangle large-scale data, build web apps, discuss architecture, and own end-to-end execution while collaborating with technical and non-technical stakeholders. May require travel and US government background checks.

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.

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 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.

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.