Top Software Engineer Jobs in Baltimore, MD

As a mid-level Software Engineer, you'll deliver Python-based platform features, collaborate with teams, and maintain system reliability and scalability.

The Power Systems Software Engineer will develop high-fidelity power flow models, validate them against customer data, and enhance the architecture for solver performance in grid simulations.

The Software Engineer will work on Automattic's products, focusing on scalable systems, code reviews, and product design, while collaborating globally.

Build and maintain scalable, cloud-native full‑stack features and services. Collaborate with Product and Design to prototype, deliver, and document solutions. Work across backend and frontend, apply modern engineering practices, mentor teammates, and own product domains to improve transit operations.

As an Android Software Engineer, you'll design and develop applications, enhance Android components, and improve telemetry solutions for device reliability in rugged tech environments.

The Software Engineer will design and implement reliable services and APIs using Golang and Python, ensuring performance, scalability, and system reliability while collaborating with cross-functional teams.

Seeking a Senior DevOps Engineer for OpenSesame, focusing on CI/CD pipelines, cloud infrastructure, and automation. Responsibilities include improving developer experience and mentoring teams.

The Senior .NET Software Engineer will drive development of .NET software products, focusing on back-end engineering, code reviews, and collaborating with cross-functional teams.

The fellowship offers hands-on experience in software engineering, focusing on data engineering, cloud-native applications, and Agile workflows with mentorship from experienced professionals.

Design, build, test, and maintain software supporting mission-critical systems. Work may include front-end, back-end, testing, integration, APIs, data access layers, automated tests, and documentation. Collaborate with engineers, grow technical skills, and adapt to project needs.

Build and maintain end-to-end full-stack solutions for an intel-focused team: front-end interfaces, REST middleware, databases, analytics, and deployment pipelines. Modernize legacy systems, automate capabilities, and use AI-assisted tools to accelerate delivery while supporting mission-driven, rapid-development timelines.

Lead design and implementation of iOS applications, mentor engineers, coordinate with vendors and operations, ensure delivery within scope/time/budget, and apply modern iOS practices (testing, CI/CD, analytics, async concurrency) to maintain high-quality production apps.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Develop, test, deploy, and maintain .NET-centric web applications using C#, Angular 17+, and Azure. Build and consume REST APIs, work with SQL Server, source control, CI/CD pipelines, and collaborate on code reviews, debugging, performance optimization, and third-party integrations.

Seeking a Staff Software Engineer to design and build cloud-deployed systems. Must have extensive programming and leadership experience in software engineering.

As a Senior Software Engineer, you will develop new products and improve engineering infrastructure while taking ownership of product deliverables and enhancing technical architecture.

Design, build, test, and maintain production-ready, scalable API services and platform solutions using microservices and containerization. Collaborate with engineers, Data Engineers, CloudOps and Product to deploy and operate services on cloud platforms, ensure observability and readiness, and participate in Agile lifecycle activities.

Design, build, and maintain highly distributed Azure cloud infrastructure services. Deliver new features, ensure high reliability and performance, monitor and alert on system health, act as DRI, and participate in on-call diagnostics and remediation.

Design, build, and operate large-scale distributed host networking systems for Azure. Develop host agent services for network configuration, connectivity, and traffic orchestration; improve reliability, observability, and deployment safety; lead incident RCA and mentor engineers while driving architectural direction.

As a Staff Software Engineer, you will significantly enhance platform development and experimentation, focusing on AI integration and efficient software workflows. You'll manage end-to-end processes, develop core infrastructure, and employ AI coding agents to refine engineering practices, ultimately improving velocity and output quality.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Lead end-to-end design and delivery of AI-infused, enterprise full-stack applications on Azure. Architect resilient solutions, build Copilot/agentic features, enforce engineering best practices, mentor engineers, collaborate with PM/UX teams, ensure quality/reliability, and support production services and integrations.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.

Design and deliver secure, high-performance microservices and APIs. Develop backend services in Java and Python, integrate ML components, build front-end service layers, deploy containerized applications to cloud platforms, and collaborate in Agile teams to ensure scalable, test-driven solutions.