Top Remote Software Engineer Jobs in Washington DC,

Provides technical leadership across multiple agile teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include writing and reviewing code, translating requirements into scalable designs, leading design reviews and sprint delivery, mentoring engineers, collaborating with product managers, and driving technical strategy, quality, security, performance, observability, and operational excellence.

Leads complex software initiatives from architecture through delivery while remaining hands-on. Designs scalable cloud-native systems, mentors engineers, drives code quality, testing, CI/CD, observability, technical debt reduction, and production reliability. Partners with Product, QA, Security, Infrastructure, and leadership to align technical execution with business objectives. Requires deep Microsoft-stack, Azure, distributed systems, database, and automated testing expertise.

Build core banking activation experiences for administrators and customers by developing streamlined user flows, robust APIs, and third-party integrations. Design and implement scalable microservices using domain-driven design, emphasizing clean, tested, documented code, error handling, logging, and performance. Contribute to system architecture, advocate for technical decisions, review code, and provide technical guidance to teammates in an Agile Scrum environment.

Lead the architecture, development, security, integration, and deployment of enterprise ServiceNow solutions focused on GRC, IRM, audit, risk, compliance, and PPM. Design scoped applications, workflows, data models, access controls, migrations, workspaces, and integrations while maintaining upgrade compatibility. Provide technical leadership through architecture reviews, code reviews, Agile delivery, testing, documentation, stakeholder communication, and developer mentorship in classified government environments.

Lead development of scalable backend services and platform infrastructure for an AI agent platform. Responsibilities include architecture and code reviews, infrastructure automation, CI/CD, observability, reliability, distributed systems, ML/NLP workload support, and mentoring engineers. The role requires expertise in Java, Python, cloud environments, Docker, Kubernetes, infrastructure-as-code, monitoring tools, and data infrastructure.

Lead Honeydew’s Operations Experience engineering team, owning people management, planning, delivery, technical quality, and cross-functional execution. Manage engineers, a tech lead, and contractors through regular feedback, growth planning, agile ceremonies, and performance management. Improve delivery metrics, surface risks and tradeoffs, collaborate with Product and Engineering leadership, and develop the team’s long-term structure, capacity, and hiring plan.

Build automation for NVIDIA switches and InfiniBand fabrics, including configuration management, drift reconciliation, NAT gateways, L4 load balancing, and resilient network control loops. Define large-scale network behavior around BGP, convergence, failover, and production failures. Lead technical direction, design standards, and customer deployments while writing production software in Go or Python for AI infrastructure.

Own Salesforce administration and development across Service Cloud and Experience Cloud. Configure case management, routing, entitlements, Knowledge, portals, security, sharing, and Agentforce. Build and test Apex, Lightning Web Components, asynchronous jobs, triggers, and integrations. Partner with business stakeholders, document designs, manage releases through DevOps Center, and meet SOX change-control requirements.

Build and scale full-stack applications for maternal healthcare using React and Python. Develop AI-assisted workflows, improve care-team efficiency, maintain production reliability with Datadog, and ensure HIPAA-compliant handling of protected health information. Collaborate with product, clinical, data, and operations teams to translate complex healthcare workflows into practical solutions while establishing strong standards for code quality, testing, and deployment automation.

Own application architecture across customer engagements, designing cloud-native systems and leading engineering teams. Support pre-sales through discovery, solution scoping, estimates, proposals, and technical presentations. Produce architecture documentation, guide implementation, resolve delivery issues, establish engineering standards, and remain hands-on when needed. The role also defines agentic AI delivery practices and maintains alignment among customers, stakeholders, project managers, and cloud architects.