Top Engineering Manager Jobs in Washington, DC

Lead and grow an engineering team building airgapped, UDS-compatible, cloud-native software. Own delivery of scalable, secure products, mentor engineers, drive CI/CD and infrastructure automation, and coordinate with Product, Growth, and Delivery to meet customer and roadmap objectives.

Lead technical delivery and integration efforts for a SaaS platform: act as technical SME for APIs, support presales and customer onboarding, triage integration issues, create documentation, and align engineering with sales and operations to scale integrations and improve SLAs.

The Engineering Manager will lead and grow engineering teams working on core infrastructure, drive hiring, and ensure alignment in delivery between teams across disciplines.

Lead and scale mobile engineering across iOS and Android. Manage teams, drive strategy, ensure quality, and advocate for user experience.

Lead a cross-functional product team to develop real-time operational tools for transit agencies, ensuring technical guidance and team support towards impactful solutions.

The Mobile Engineering Manager will lead a team in building consumer mobile apps, focusing on quality and performance while collaborating with Product and Design teams.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

Lead and manage a Salesforce engineering delivery team to design, build, test, and deploy scalable, secure Salesforce solutions. Drive Agile and DevOps practices, enforce release governance, integrate AI and Data Cloud capabilities, ensure HIPAA/PHI compliance, and collaborate with product, platform, and operations teams to execute the enterprise roadmap and unblock technical work.

As an Engineering Manager at Medallion, you will lead engineering teams, shape product roadmaps, mentor engineers, and build a strong team culture while integrating AI into workflows.

Lead and grow a Data Engineering organization to design, build, and operate scalable, governed data pipelines and enterprise data products. Define technical strategy and roadmap, improve data quality, reliability, observability and governance, partner with cross-functional teams, and drive platform evolution to enable analytics, ML, reporting, and self-service insights.

Lead QA & Standards for an enterprise SaaS platform, owning manual QA, automation, and performance testing. Set org-wide test standards, define release quality gates, drive AI-first QA adoption, grow performance engineering, manage distributed teams, and partner with engineering leadership on automation strategy and quality transformation.

Manage two Reporting/BI scrum teams delivering financial reporting for the CEM platform. Own delivery, people, and client relationships; provide technical SQL/BI leadership; drive AI-first tooling adoption; coordinate cross-functional alignment; hire and develop engineers across distributed locations.

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.

Lead a team of 4 to 6 software engineers, driving operational, technical, and communication efforts to deliver impactful software solutions in healthcare technology.

Lead engineering teams to develop AI-powered software for local governments, enhance user-facing features, and drive continuous process improvement.

Architect and build reusable Angular UI frameworks and real-time chat experiences, own frontend performance and state management, integrate AI/ML APIs and real-time backends, contribute to CI/CD and GCP deployments, and collaborate with Product, Architecture, and UX teams.

Lead and grow a Data Engineering team to build production data pipelines, medallion datasets, and reusable data products. Drive architecture, engineering standards, design reviews, and cross-functional delivery. Partner with Product, Analytics, Data Science, and Platform to enable governed, reliable data foundations for analytics and AI. Mentor engineers and manage multiple concurrent initiatives to deliver predictable outcomes.

The Manager of Data Engineering leads a team to implement data architecture, manages project execution, and ensures pipeline quality. Responsibilities include team management, setting standards, developing engineering culture, and collaborating with stakeholders.

Lead the Tools & Frameworks engineering team to build shared backend libraries, internal tooling, scalable APIs, and schemas. Define roadmap, balance technical and business priorities, drive architectural excellence (including FHIR translation, monorepo decomposition, data federation, event-streaming), mentor engineers, and collaborate cross-functionally to improve developer productivity and platform reliability.

The Engineering Manager will lead a cross-functional team, focusing on delivering platform initiatives, improving developer experience, and enhancing engineering standards.

Lead and manage the development of the Landscape systems management solution for Ubuntu, guiding a team of engineers and setting strategic goals.

Responsible for managing engineering projects, leading client liaison, overseeing project staffing, executing project plans, and mentoring staff for rail transit projects.

The Senior Engineering Manager at Planet leads the engineering team, focusing on delivering products for Defense Intelligence. Responsibilities include mentoring engineers, refining processes, and collaborating across teams for effective deployment of technology.

Lead a team of engineers to build distributed systems for B2B partners, manage technical integrations, and drive architectural excellence.

Lead the engineering team for Rescale's core cloud computing orchestration engine, focusing on AI-assisted development, operational excellence, and scalable distributed systems.