Top Senior Software Engineer Jobs in Baltimore, MD

Design, develop, and maintain complex distributed software systems. Write tested, scalable code; translate requirements into robust designs; lead design and code reviews; guide sprint teams; collaborate with stakeholders; and mentor engineers. The role emphasizes software quality, security, compliance, maintainability, technical strategy, and delivery of new features across applications.

Designs, develops, tests, and maintains complex distributed software systems. Leads design and code reviews, translates product requirements into scalable solutions, leads sprint teams, removes delivery impediments, collaborates with stakeholders, and mentors engineers. The role emphasizes backend development, cloud technologies, microservices, APIs, databases, containerization, DevSecOps, technical strategy, and delivering secure, maintainable, high-quality software.

Provides technical leadership across multiple agile teams, designing, developing, testing, and maintaining complex distributed software systems. Leads architecture and code reviews, translates product requirements into scalable solutions, removes delivery impediments, collaborates with product managers and stakeholders, and mentors engineers. The role requires backend development, cloud technologies, microservices, APIs, messaging, containerization, DevSecOps, observability, and technical strategy experience.

Provides technical leadership across multiple agile teams, designing and developing complex distributed software systems. Responsibilities include coding, system design, code and design reviews, roadmap delivery, stakeholder collaboration, mentoring engineers, and driving technical strategy, quality, scalability, security, observability, and operational excellence. The role requires extensive software engineering experience, multi-team leadership, distributed systems expertise, and proficiency with modern programming languages, cloud platforms, microservices, containers, APIs, messaging, and DevSecOps.

Develop and support customized Acumatica ERP solutions using the Cloud xRP Platform, C#/.NET, T-SQL, APIs, workflows, dashboards, and reports. Translate business needs into technical specifications, build integrations, conduct testing, troubleshoot issues, document solutions, and collaborate with clients, analysts, project managers, and technical teams. The role also provides technical guidance, manages multiple assignments, and supports continuous improvement.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.

Develop full-stack software and web applications for national security customers. Translate mission needs and user requirements into maintainable, user-friendly systems using strong Java and JavaScript/TypeScript skills. Apply continuous integration, collaborate through design discussions and documentation, adapt to changing customer needs, meet deadlines, and support mission requirements within a geographically distributed engineering team.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Build and deliver full-stack features for a web-based broker platform, collaborate with product and design, manage technical debt, shape architecture for scalability, participate in code reviews, and adopt AI-powered developer tools.

The Software Engineer 3 will develop custom analytics and tools, collaborating with data scientists and analysts, while focusing on machine learning and big data solutions.

Design, develop, test, and maintain software applications for mission-critical systems, ensuring high performance and security in a collaborative environment.

As a Mid Level Software Engineer, you will develop and enhance software systems, contribute to innovative solutions, and perform testing and design analysis, focusing on RF signal processing and large data set manipulation.

The Software Engineer Level 4 will develop analytics using various software languages, collaborate with development teams, and oversee analytic approaches across systems.

The Software Engineer 3 will develop and deploy innovative analytics solutions for geolocation and data integration, collaborating with stakeholders.

Design, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development tools.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Develop and maintain high-volume, mission-critical enterprise web applications using C#/.NET, ASP.NET MVC, AngularJS, and SQL Server. Responsibilities include full lifecycle development, architecture and design participation, troubleshooting, performance and scalability improvements, AI-assisted workflow development, Agile collaboration, technical mentoring, and supporting multi-tier systems.

Lead end-to-end design, development, deployment, testing, and production support of enterprise web applications. Build scalable client/server architectures, ensure security and data governance, mentor team members, collaborate with product and business stakeholders, and own timely delivery and quality of solutions. Analyze data patterns and support reporting and selection workflows.

Build and maintain full-stack systems for a global monitoring application supporting federal partners and satellite data access. Responsibilities include designing scalable backend services and frontend applications, improving architecture and infrastructure, integrating complex customer requirements, and owning mission-system quality and availability. The role requires collaboration across teams throughout the engineering lifecycle and experience with cloud infrastructure, observability, geospatial data, and complex integrations.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered applications with LLMs, GenAI agents, RAG pipelines, semantic search, vector databases, and LLMOps practices. Collaborate across teams, optimize performance, troubleshoot issues, participate in code reviews, and create responsive user interfaces.