Top Software Engineer Jobs in Washington DC,

Own the architecture and reliability of Payabli’s core payments infrastructure, including exactly-once payment execution, APIs, multi-rail orchestration, batching, funding, reconciliation, ledgering, observability, and failover. As the founding Payments Core engineer and senior individual contributor, establish technical standards, influence architecture, set hiring criteria, and build systems capable of processing high-volume money movement accurately and reliably.

Leads a full-stack engineering team building AI-powered products and workflows for go-to-market functions. Responsibilities include engineering strategy, architecture, reliability, security, hiring, performance management, cross-functional discovery, prototyping, production delivery, and measurement. The role owns integrations across Salesforce, data platforms, product systems, and AI services while delivering measurable improvements in revenue, conversion, productivity, or quality.

Lead and develop a 12-person multidisciplinary data organization spanning data engineering, analytics engineering, data science, machine learning engineering, and support. Set technical direction for the data platform, improve scalability and reliability, automate workflows, guide architecture, and integrate data and machine learning capabilities into products. Establish priorities, support go-to-market teams, manage performance and career development, hire effectively, and collaborate with Engineering, Product, and company leadership.

Build full-stack prospect demo solutions for ecommerce search and discovery products. Develop JavaScript data collection tools, front-end integrations, ETL workflows, dashboards, alerts, and open-source UI libraries and REST clients. Validate prospect data, support integrations, answer technical questions, collaborate with sales and product teams, and contribute to automated testing, code reviews, and demo infrastructure.

Build and scale SafetyWing’s global social safety net products. Develop clean, scalable backend services using Java and Kotlin, contribute to frontend applications with TypeScript, React, and Next.js, and participate across requirements gathering, system design, implementation, testing, deployment, and maintenance. Collaborate closely with product and technology teams while helping shape technical processes and company direction.

Lead and grow a 16-person engineering organization across four AI-focused pods. Set technical direction, guide AI-native product and engineering development, manage cross-team dependencies, and oversee delivery, quality, reliability, security, and velocity. Partner with product, design, and leadership on scalable full-stack systems, mentor engineers and technical leads, and promote strong practices in architecture, testing, observability, incident response, and CI/CD within a HIPAA/SOC 2-aware environment.

Build and operate highly scalable storage infrastructure supporting petabyte-scale imagery data. Responsibilities include developing backend services and APIs, managing object storage and metadata indexing, tuning Elasticsearch, improving disaster recovery, monitoring performance, responding to incidents, contributing to architecture and roadmaps, and advising engineers. The role requires strong production software engineering experience with Go or Python, cloud-native systems, relational and non-relational databases, and highly available services.

Design, build, and maintain scalable AI systems and backend products. Responsibilities include backend development, front-end integration, database performance optimization, data security, debugging, unit testing, code reviews, and building, releasing, and maintaining containerized solutions.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Design, develop, maintain, and support full-stack applications, Azure cloud services, REST APIs, integrations, and data workflows. Contribute to CI/CD, infrastructure automation, testing, monitoring, troubleshooting, documentation, and operational improvements. Participate in a 24x7 rotational on-call schedule, handling incidents, restoring services, documenting resolutions, and supporting continuous reliability improvements across business-critical platforms.