Top Software Engineer Jobs in Baltimore, MD

Lead architecture and hands-on implementation of an offline-first edge computing platform in Go. Design distributed messaging and cloud-to-edge synchronization, optimize services for resource-constrained in-store hardware, maintain Kubernetes/Helm deployments, mentor engineers, and collaborate with Product and DevOps for phased rollouts and migrations.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

We are seeking a Senior Frontend Software Engineer to build advanced web applications using JavaScript and ReactJS, collaborating with a team to enhance user experiences.

The Senior Backend Software Engineer will build intricate backend systems, develop APIs, ensure high availability, and improve application scalability and performance.

Lead and manage software engineering teams, architect scalable systems, and innovate solutions while collaborating with stakeholders across various technology stacks.

Develop and expand software products and platforms across backend, frontend, cloud, AI, and machine learning systems. Build efficient, reliable, and testable code; collaborate with business partners to launch features; influence product and engineering decisions; mentor team members; and help shape team culture and product vision in an agile environment.

Design, build, and own reliable, secure, and performant production systems for clinical workflows. Make high-stakes technical decisions, improve code and designs via reviews, collaborate with product/design/clinical experts, debug and harden complex systems, and help shape technical and architectural direction at senior levels.

Build and maintain developer platform tooling that ensures SIL-4 safety compliance: automation for certification evidence, CI/CD improvements, Bazel build maintenance, lightweight web dashboards, developer workflow automation, monitoring, and on-call support.

As a Senior Software Engineer, you'll build high-performing, scalable applications for Joyride's auction platform, working on new features and existing code.

Design and build internal platforms, tooling, and AI-powered workflows to reduce developer friction, improve velocity, quality, and reliability. Partner with product, infra, and security to create reusable paved paths, measure impact with engineering metrics, and help define the Developer Experience practice.

Design, build, test, and continuously deploy scalable infrastructure and platform tooling. Create technical specs and rollout plans, collaborate with stakeholders, mentor teammates, support services in production, and shape engineering practices across teams.

Build and operate the Data Plane Platform: design and implement scalable backend services in Go, REST APIs, and distributed systems; contribute full-stack using React and TypeScript for platform management; develop and run production cloud applications on AWS/GCP; ensure reliability through testing, CI/CD, and observability; troubleshoot across code and infrastructure and drive technical ownership.

Support mission-critical SRE infrastructure through Linux administration, automation (Salt, Ansible), monitoring (Nagios, Thruk, Prometheus, Splunk, Grafana), troubleshooting, software integration, and code/repository maintenance while collaborating with engineering and operations teams.

Design, develop, and implement Java-based software for enterprise computer systems. Lead technical direction, mentor engineers, build RESTful microservices, manage Kubernetes deployments, and follow Agile practices to deliver high-quality solutions.

Design, build, and maintain cloud-native full-stack applications and backend services that support investment risk analysis. Own end-to-end delivery, contribute to architecture, apply automated testing and CI/CD, collaborate with stakeholders, reduce technical debt, and ensure reliable, observable data and analytics for portfolio risk and simulations.

Join the Consumer Technology team to develop, maintain, and troubleshoot applications and test tools. Perform routine automation, white-box testing, code reviews, monitor automated processes, estimate tasks, communicate with product owners and users, and recommend improvements. Assist in training others and follow departmental methodologies.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Develop and enhance front-end, server-side, and database applications, focusing on blockchain products while ensuring high performance and security.

Design and develop full-stack applications for controlling autonomous construction robots, including backend services and front-end interfaces. Collaborate in rapid deployment cycles.

Build and ship full‑stack web features end-to-end using React/TypeScript and Node.js. Partner with Product, Design, and Data to deliver reliable, well-tested software, set and uphold code quality, make technical decisions, and mentor others (at senior level). Own features from design through production and improve tooling, testing, and observability to increase team velocity.

The Software Engineer will build scalable backend systems, integrate third party software, and optimize performance, aiming to enhance efficiency in the moving industry.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.

The Software Engineer develops and enhances software systems, analyzes user requirements, debugs existing software, and participates in team activities while ensuring adherence to design requirements.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.