Top Engineering Manager Jobs in Baltimore, MD

Manage infrastructure projects through full lifecycle, ensuring quality delivery on time and budget. Liaise with clients, coordinate teams, oversee staffing and project plans, and lead proposals and contract negotiations.

Lead and develop teams that design, configure, deploy, govern, and support enterprise SaaS applications with emphasis on Microsoft 365, collaboration tools, and ServiceNow. Align application capabilities to business needs, oversee tenant and platform administration (M365 and ServiceNow), drive governance/security/compliance, manage projects and stakeholders, and promote operational excellence and continuous improvement.

The Senior Engineering Manager will lead multiple engineering teams, driving technical strategy and software development in a healthcare setting, ensuring compliance and operational excellence.

The Senior Manager, Software Engineering is responsible for strategic execution, technical leadership, product advocacy, team scaling, and operational excellence, requiring advanced management and strong technical skills in C# and microservices.

Lead engineering team for solar and storage projects, oversee design execution, manage technical evaluations, and provide construction support.

As a Senior Software Engineer, you'll design and develop scalable features for K-12 software applications, focusing on technical leadership and mentoring within a cross-functional team.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

The Software Engineering Manager will lead a team in creating tools for Cengage Learning Platforms, focusing on AI innovation, team growth, agile delivery, and collaboration.

Lead and scale a remote revenue cycle solution engineering team to deliver secure, scalable integrations (HL7, FHIR, APIs, DB extracts) with large health systems (Epic, Cerner). Partner with Product, Engineering, Implementation, and Customer Success, manage complex deployments, drive architecture and tooling improvements, and provide hands-on escalation support and metrics for integration performance.

Lead a platform engineering team to deliver reliable, maintainable backend and platform capabilities. Manage hiring, coaching, delivery, technical guidance, cross-functional alignment, execution discipline, incident follow-up, and engineering practices to meet product and operational goals.

Lead and mentor 1-2 software engineering teams; translate stakeholder goals into scalable technical solutions; drive the technical roadmap, organizational initiatives, and engineer development; balance rapid prototyping with robust systems; apply AI and cloud expertise to improve engineering outcomes.

Lead and grow backend, infrastructure, and intelligence engineering teams. Own people management, delivery, roadmaps, incident processes, and enable AI-assisted development. Partner with platform, product, data, and leadership to define technical strategy, prioritize high-impact work, hire engineers, and improve developer experience while scaling systems for millions of users.

Lead and grow a senior engineering team building dashboards, notebooks, visualizations, and AI-assisted investigative tools. Partner with Product to drive roadmap and delivery, shape technical direction with staff+ engineers, mentor engineers, and ensure performance and scalability of analytical surfaces at enterprise scale.

Lead a team building the Entri scheduling and order management platform. Drive architecture, modernize legacy desktop apps into scalable SaaS, design and deliver distributed microservices, mentor engineers, partner with product and cross-functional teams, and resolve complex production issues to improve patient scheduling and coordination.

Lead and manage a B2B engineering team, ensuring high-quality software delivery while fostering team growth and collaboration across departments.

The Software Development Manager leads engineering teams, ensuring high-quality software delivery, mentoring engineers, and managing team development, while collaborating cross-functionally to align with business objectives.

The role involves leading the UI engineering team, developing user experiences across Netskope products, and managing project deliveries, while collaborating with cross-functional teams.

Lead a team responsible for payments and finance development, focusing on API integrations, security compliance, and team productivity improvements.

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.