Top Software Engineer Jobs in Baltimore, MD

Maintain and modernize a legacy C#/.NET codebase, design and build new cloud-based applications, write front- and back-end code, add unit/integration tests, review code, troubleshoot issues, and collaborate across teams to improve architecture and reliability.

Provide Splunk SME support within an RPA Center of Excellence: design and configure Splunk solutions, create dashboards and searches to isolate actionable events, analyze logs and indexes, customize monitoring templates, and train product owners and teams on Splunk usage to support operations.

Work on frontend, backend, full-stack, or data/platform engineering to design, build, and operate high-scale systems and AI-enabled user experiences. Responsibilities include building distributed backends, data pipelines, performant UIs, integrating AI features, owning projects end-to-end, and collaborating cross-functionally to deliver production-quality software.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Pair with engineers to embed agentic practices, own systems end-to-end, participate in AI-augmented reviews, and judge agent use versus human intervention.

Perform technical code review and analysis to determine originality and function, prepare memos and expert reports, rebut other experts, communicate with counsel and clients, prepare testifying experts, manage multiple engagements, and supervise junior staff.

Lead the migration of a Windows-based renderer to Linux/Vulkan, ensure cross-backend correctness and performance, build regression/comparison tests, establish profiling workflows, and contribute to advanced rendering features and GPU optimization while collaborating across build, infra, and simulation teams.

Lead design and delivery of a cloud-native BaaS payments platform. Architect scalable distributed systems, define API contracts, drive CI/CD and TDD practices, mentor engineers, reduce technical debt, and partner with product teams.

The Enterprise Data Architect develops and optimizes database solutions, migrating data, conducting tests, and ensuring information system functionality.

Design, build, and operate scalable, highly concurrent backend services in Go. Architect distributed, fault-tolerant systems, optimize performance and reliability, define APIs and service boundaries, improve observability and operational readiness, and collaborate cross-functionally to support mission-critical autonomous deployments.

Build and maintain iOS and Android apps, own features end-to-end, implement high-quality UI/UX, ship consumer-facing AI (including on-device ML) to production, integrate REST APIs, troubleshoot production issues, and contribute to mobile architecture.