Top Remote Engineering Manager Jobs in Washington, DC

Lead a full-stack engineering team developing a payments platform, focusing on C#/.NET and cloud-native architectures, with mentoring and technical direction responsibilities.

Manage a team of engineers building Docker's runtime for AI workloads, oversee technical direction, and ensure operational excellence in cross-platform environments.

Lead and mentor an engineering team building and operating the DrChrono EMR within EverHealth. Drive architecture, delivery, and compliance for scalable, secure healthcare software; coordinate cross-functional teams, set technical roadmaps, and ensure HIPAA-aligned implementations using modern full-stack and mobile technologies.

Manage and lead a development team to implement merchant-facing applications, oversee projects from intake to delivery, and ensure system quality. Drive team growth and engineering processes while collaborating on architecture, incident response, and product delivery.

The Sr. Manager, Technical Engineering leads application support for healthcare platforms, ensuring reliable service delivery, operational readiness, and collaboration with cross-functional teams. Responsibilities include managing incident response, systems engineering, process improvement, and governance while overseeing talent development and financial management.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

Lead the Data & Cloud Platform for the AI organization, building cloud runtime, unified data access layers, agent memory/context systems, and data ingestion/transformation pipelines. Split time between hands-on engineering and managing a small team, set platform patterns, ensure privacy-aware data handling, and partner with product and governance teams to scale maintainable, cost-effective infrastructure for AI workloads.

The Senior Engineering Manager will lead multiple teams, set technical vision, drive cross-domain alignment, and improve platform strategies in fraud detection and IT security.

Oversee a team of engineers while managing the technical strategy for web-based applications in a regulated medical device environment.

Lead multiple engineering teams to deliver scalable, production-grade SaaS software. Set goals and success metrics, partner with Product, remove technical and organizational blockers, drive engineering excellence (code quality, testing, CI/CD, observability, IaC), guide architecture decisions, coach engineering managers, and support hiring to improve organizational performance and business outcomes.

The Manager - Software Engineering oversees a software engineering team, manages project budgets, ensures productivity, and facilitates communication between teams while meeting development deadlines and improving processes.

Lead and mentor engineering teams in developing a SaaS solution for dental practice management, focusing on system architecture, code quality, and integrating AI tools.

Lead the design and development of the OneStream Platform, overseeing engineering teams and ensuring high standards of code quality, performance, and reliability while integrating AI and promoting best practices.

Lead a team of engineers at Assured, focusing on mentoring, driving engineering excellence, and collaborating on scalable software solutions for insurance claims processing.

The Senior Engineering Manager leads the Data Platform team, overseeing data engineers, managing data pipelines, and driving Root's data strategy across business functions.

Lead and mentor the Activations engineering team to deliver integrations and workflows that get new banking clients to production. Balance hands-on coding, system design, code reviews, and product partnership while ensuring reliability, scalability, and high-quality backend services and APIs.

The Engineering Manager will lead a team of engineers to develop and maintain software solutions, collaborate with various teams, and implement CI/CD practices. They will also mentor engineers and influence organizational technology strategies.

Lead and grow the Platform Engineering team, define architectural standards for pipelines, integrations, and an AI platform, drive CI/CD and IaC adoption, embed AI-native development practices, manage delivery cadence and tradeoffs, run high-velocity strike teams, coach engineers, and contribute hands-on to internal tooling and infrastructure.

Lead the engineering team at ServiceTitan, owning technical vision, improving systems, mentoring engineers, and collaborating with cross-functional teams to enhance product performance and reliability.

Lead the software and infrastructure teams for a UCaaS platform, driving delivery and operational excellence while coaching engineers and managing projects.

Lead and hands-on manage the Catalog engineering team, own sprint delivery and architecture, write and ship full‑stack production code using AI-assisted tooling, hire and grow engineers, and drive collaboration with product and design while shaping an AI-driven SDLC.

Lead teams building and operating the core data platform, ingestion pipelines, datalake adoption, Data APIs, permissions, and customer-facing data access to enable reliable, scalable client data delivery and AI-enabled workflows; partner cross-functionally and develop engineering talent while reducing operational burden through automation.

Lead and manage the Web Applications engineering team for hosted subscription products. Drive day-to-day execution, people management, budgeting, delivery planning, and engineering practices (CI/CD, testing, observability, release readiness, reliability, security/privacy). Coordinate launches, cross-functional readiness, and improve team processes while staying hands-on with technical tradeoffs and architecture.

Lead and manage the Web Applications engineering team for hosted subscription products. Drive day-to-day execution, people management, budgeting, delivery practices, release and operational readiness, reliability, privacy/security, and cross-functional coordination while remaining hands-on with technical tradeoffs and engineering processes.

Lead and grow a compute engineering team building large-scale, multi-tenant compute platforms for AI workloads. Drive strategy, roadmap, architecture, operations, capacity planning, and reliability. Own on-call, incident response, and cost/utilization tradeoffs while partnering across product, security, and customers to deliver a predictable, efficient, and secure compute substrate.