Top Software Engineer Jobs in Baltimore, MD

Develop and improve Azure Kubernetes Service capabilities across Linux and Windows, building reliable container orchestration and cloud infrastructure at global scale. Responsibilities include advancing Kubernetes components, improving service quality, accelerating engineering velocity, automating incident prevention and remediation, and integrating AI tools into development workflows. The role focuses on distributed systems, containers, Kubernetes, DevOps tooling, and AI/ML workload infrastructure.

Designs, develops, configures, and supports Edifecs healthcare EDI solutions and transaction mappings. Works with 837, 834, 835, 820, and 270/271 transactions; troubleshoots transmissions, configures validations, and develops Groovy scripts. Leads Agile and DevOps efforts, mentors engineers, supports QA, and designs scalable AWS applications using containers, microservices, and CI/CD. Provides technical leadership, architecture guidance, performance tuning, and stakeholder consultation.

Lead delivery of Unity Engine’s C#/.NET integration, including GC, JIT, AOT, runtime libraries, and compiler toolchains. Define technical vision, improve performance and reliability, guide cross-functional development, communicate roadmaps and metrics, support users, and mentor team members. The role requires deep C# and C++ expertise, compiler knowledge, hardware architecture understanding, and proprietary game engine development experience.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.

Build backend services, APIs, data-processing systems, and frontend features for Northbeam’s marketing intelligence platform. Work on experimentation, near-real-time data infrastructure, AI-powered workflows, data integrations, RBAC, and end-to-end product delivery. Collaborate with data scientists, product managers, designers, and senior engineers while contributing across backend, frontend, pipelines, and infrastructure in a fast-moving environment.

Leads the architecture, development, testing, deployment, troubleshooting, and sustainment of Appian applications supporting Army systems. Provides technical leadership, code reviews, mentorship, secure coding enforcement, requirements collaboration, Agile participation, integrations, documentation, and compliance with DoD cybersecurity, RMF, STIG, and privileged-access requirements.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Build scalable backend Java services and REST APIs in Linux/Unix environments. Responsibilities include backend architecture, distributed systems, API design, CI/CD, automated testing, debugging, code reviews, Agile collaboration, and DevOps using cloud and infrastructure tools. The role supports complex client solutions and requires an active TS/SCI clearance with polygraph.

Maintain and modernize backend services (Java/Spring Boot), update dependencies, troubleshoot and resolve defects, implement code enhancements, support deployments in Linux/Docker environments, collaborate with customers and engineers, participate in Agile planning, and contribute to long-term application stability and modernization.

Build and improve scalable, accessible Android applications for Wikipedia and Wikimedia users worldwide. Responsibilities include leading technical discovery and system design, implementing Kotlin and Jetpack Compose features, optimizing performance, developing testing and observability practices, managing delivery risks and scope, and collaborating with product, design, analytics, and engineering teams.

Lead engineering for a hyperscale deployment platform serving Microsoft 365 services. Design and deliver scalable deployment features across the full software lifecycle, mentor engineers, and drive automation and AI-powered solutions that improve reliability, efficiency, performance, and operational excellence. Collaborate with product managers and partner teams while ensuring high-quality, maintainable, production-grade software.

Lead software engineering for the Patient Onboarding team, building and improving registration, insurance verification, and care-access workflows. Write full-stack production code, lead complex cross-team initiatives, shape technical direction, improve engineering foundations, and support modern AI-enabled development practices. Collaborate with Product, Design, Analytics, and Engineering to improve patient conversion and system reliability.

Owns VM and fleet test strategy, performance quality gates, and hypervisor validation for an IaaS platform. Designs reproducible bare-metal-like test environments, develops automated performance benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses and analysis pipelines in Go, Python, and Perl. The role requires deep expertise in virtualization, Linux systems, performance engineering, statistical analysis, and cross-architecture debugging.

Build and ship maintainable software using Python, React, TypeScript, SQL, and AI-assisted workflows. Design scalable, secure, performant solutions; work with complex data models; and improve engineering processes. Mentor junior engineers, lead code reviews, collaborate with Product and Design, influence technical strategy, and modernize production systems while maintaining reliability and customer experience.

Develop, deploy, test, and maintain software applications, APIs, user interfaces, databases, automation, and supporting infrastructure for cyber training environments. Responsibilities span the full software development lifecycle, including requirements analysis, secure coding, CI/CD, virtualization, containerization, troubleshooting, integrations, release management, documentation, and operational support. The engineer will collaborate with instructors, QA, developers, and administrators while contributing across UI/UX, backend services, and DevOps/integration specialties.

Develop, deploy, test, and maintain software applications, APIs, user interfaces, databases, automation tools, and infrastructure supporting cyber training environments. Responsibilities span the full software development lifecycle, including requirements analysis, secure coding, CI/CD, virtualization, containerization, integrations, troubleshooting, documentation, releases, and operational support. The engineer will collaborate with instructors, QA, developers, and system administrators, contribute across UI/UX, backend, and DevOps specializations, mentor junior staff, and support realistic cyber training and automated assessment capabilities.

Own the architecture and technical direction of NodeZero’s database platform. Design scalable PostgreSQL systems, multi-tenant data models, graph-based asset models, partitioning, replication, and zero-downtime schema migrations. Establish database standards, governance, and performance practices while writing production code, authoring design documents, mentoring engineers, and influencing teams across the data pipeline.

As a Sr. Software Engineer at Bloomerang, you will lead technical direction, mentor engineers, and enhance SaaS solutions while utilizing .NET and AI tools. You will ensure scalable, maintainable applications, advocate for Agile workflows, and focus on quality outcomes in software development.

Develop and release Esri software for GIS, photogrammetry, remote sensing, defense, and intelligence workflows. Build high-performance image processing capabilities, algorithms, APIs, cloud-friendly desktop and enterprise applications, and support multiple imagery modalities and data formats. Collaborate with developers and product engineers to integrate libraries into ArcGIS, solve complex application-design problems, and mentor junior developers.

Develop and maintain software using C#, .NET, web technologies, SQL Server, and AWS. Participate in the full SDLC and Agile Scrum processes, including design, development, unit testing, defect resolution, backlog refinement, and collaboration with product and QA teams. Build solutions using Microsoft-stack technologies, optimize databases and stored procedures, and support cloud-based application delivery.

Build and scale data pipelines and partner integrations for an end-of-life open-source software dataset. Responsibilities include improving data quality, designing configurable risk-scoring models, integrating Kafka and data lakes, automating package generation and publishing, implementing monitoring and CI/CD, and documenting systems. The role also involves technical design, code reviews, mentoring, and collaboration with product and partner-facing teams.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

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.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Owns end-to-end development of customer platform features, including Go backend systems, REST/gRPC APIs, entitlements, policies, and onboarding services. Collaborates across engineering teams, extends AI-powered customer experiences, provides technical leadership and mentorship, and drives product-focused delivery in ambiguous environments.