Top Software Engineer Jobs in Baltimore, MD

The Growth Engineer will architect growth systems, automate processes, design experiments, optimize funnels, and collaborate cross-functionally to enhance customer acquisition and ensure alignment with commercial goals.

Lead backend technical strategy and hands-on implementation to migrate on-prem systems to Azure, decompose a .NET monolith into service-based architecture, define data models and API contracts, ship customer-facing features with CI/CD and observability, and mentor engineers across the cross-functional Platform team.

Lead design, build, and scale GridUnity's cloud SaaS platform. Own end-to-end features, mentor engineers, drive architecture, improve scalability, reliability, security, and data practices while collaborating with product teams.

Lead the backend architecture, mentoring engineers, and defining technical standards while building scalable systems for data processing and LLM integration.

Design, build, and operate bidirectional integrations between the Quadrivia AI platform and major US EHRs and healthcare systems. Implement HL7v2 and FHIR R4 interfaces, operate integration engines (InterSystems IRIS or equivalents), ensure secure connectivity and compliance (HIPAA/SOC2/HITRUST), guarantee data integrity and patient matching, coordinate parallel integration teams, set standards, mentor engineers, and support customer security reviews and go-lives.

The role involves developing and maintaining Oracle HCM integrations, ensuring the accuracy and security of data flows, and mentoring junior developers.

The AI Special Projects Engineer will work cross-functionally to build features, automate workflows, and create demos for Lightning Labs, focusing on AI-driven solutions.

Design, build, test, and maintain Android apps using Kotlin (and Java when needed). Collaborate with product, design, backend, and QA teams; implement responsive UIs, integrate REST APIs and third-party SDKs, optimize performance, support Play Store deployments, and follow SDLC standards.

Lead architecture and technical strategy across an infrastructure platform ecosystem. Drive hands-on architectural improvements to graph engine and backend services, reduce technical debt, establish standards, champion AI-first engineering practices, run architecture/code reviews and mentorship, and collaborate with product and leadership to ensure scalable, extensible systems.

Lead end-to-end database migration projects across on-prem, cloud, hybrid, relational and non-relational systems. Plan migration strategies, perform schema mapping and conversions, implement replication and change data capture, minimize downtime with HA techniques, conduct cutovers and rehearsals, validate post-migration, and develop rollback/contingency plans. Collaborate with teams and address technical risks and compatibility issues.