Top Software Engineer Jobs in Washington DC,

Designs end-to-end Forward Deployed Engineering curriculum projects for experienced production engineers. Responsibilities include defining technical infrastructure, databases, learning goals, submission guidelines, and assessment rubrics; evaluating current tools and deployment approaches; collaborating with instructional designers; and supporting sales and marketing enablement. The role requires real-world ownership of enterprise AI deployments from initial client engagement through production adoption, strong technical writing, and mentoring or teaching experience.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Build and scale high-performance iOS and Android apps with Expo/React Native. Implement native integrations, smooth UIs and animations, automated tests, performance fixes, and collaborate with backend, design, and product teams using AI-assisted workflows.

Build and scale Cresta’s no-code conversation intelligence platform across the frontend and backend. Responsibilities include creating visual workflow editors, backend services and APIs, data models, storage layers, and scalable systems using React, TypeScript, Python or Go, Postgres, ClickHouse, and Elasticsearch. Collaborate with product, design, and AI/ML teams to deliver intuitive experiences for non-technical users while improving performance, reliability, security, and maintainability.

Design, develop, test, deploy, monitor, and support enterprise integrations using the Boomi platform. Connect systems such as NetSuite, SAP, D365, Workday, Salesforce, and other applications through APIs, EDI, databases, files, messaging, and cloud services. Perform data transformation, error handling, optimization, troubleshooting, documentation, and production support. Lead integration workstreams, manage deliverables and deployments, conduct code reviews, define reusable standards, collaborate with stakeholders, and mentor junior developers.

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.

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.