Top Software Engineer Jobs in Baltimore, MD

The Software Engineer develops, maintains, and enhances software systems. Responsibilities include analyzing requirements, debugging, designing software, integrating systems, and serving as a team lead.

Develops and enhances Big-Data Cloud systems, contributing to back-end processing and software design, while ensuring adherence to requirements and conducting testing.

As a Software Engineer, you'll design, develop, and deploy software applications for government missions, collaborating with teams to ensure security and performance standards are met.

The Software Engineer develops complex software systems, analyzes user requirements, designs and modifies software, leads teams, and ensures quality control for federal government projects.

Develop, maintain, and enhance complex software systems including analytics, large-data processing, real-time systems, and business information systems. Write and review code, test components, resolve defects, provide customer support, and contribute to system-level design decisions (hardware/software tradeoffs, reuse, and COTS/GOTS evaluation).

Develop and oversee full-stack software solutions in an agile environment, utilizing various technologies and leading a team to enhance system performance.

Design and implement end-to-end AI/ML software solutions to modernize client systems. Build developer-focused tools and prototypes, apply best practices for software workflows, and collaborate to refine experimental tooling while considering ecosystem and future enhancements.

Build and maintain software integrations connecting Cribl’s stream-processing engine with systems such as Splunk, Elasticsearch, Kafka, and cloud storage platforms. Research third-party technologies, develop robust Node.js and TypeScript code, create automated and integration tests, collaborate across engineering and product teams, participate in code reviews and on-call support, and contribute to documentation and technical communities.

Staff Software Engineer responsible for shaping technical strategy and architecting automation systems for package creation, testing, and container image builds. The role involves developing production Go, AI- and LLM-powered developer tooling, quality frameworks, CLIs, and scalable services. Responsibilities include mentoring engineers, influencing roadmaps, improving reliability, and collaborating across distributed teams. Candidates need strong systems architecture, Linux, build systems, container ecosystem, and developer tooling experience, with familiarity in software supply chain security preferred.

Design, scale, and optimize APIs, services, databases, and critical wagering, financial ledger, and regulatory systems. Lead complex technical initiatives, improve production performance and resilience, build integrations and migrations, manage monitoring, and mentor engineers. The role requires ownership of end-to-end delivery, on-call operations, scalable distributed systems, GraphQL, relational databases, Kubernetes, asynchronous processing, and highly accurate, auditable financial systems.

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Own and ship full-stack product features in weekly cycles: scope solutions, build backend services and UIs, use AI tooling for development, ensure code quality and production readiness, measure impact, and communicate with stakeholders.

Build and own enterprise platform components end to end, integrating with customer infrastructure and self-managed Kubernetes environments. Develop observability, improve reliability and availability, debug distributed systems, address security vulnerabilities, and deliver production software for enterprise users. Collaborate with product and technical leads, mentor engineers, and maintain hands-on ownership across design, implementation, deployment, and production operations.

Develop and operate SpiceDB and AuthZed’s open-source authorization ecosystem. Design, implement, test, deploy, and optimize distributed systems involving databases, cloud infrastructure, query planning, scalability, reliability, and performance. Participate in production operations and on-call rotations, troubleshoot complex issues, collaborate with users and contributors, mentor engineers, and contribute to technical documentation and industry discussions.

Develop and maintain complex mission and business software with a front-end focus using Angular/RxJS, integrated with Java/Spring Boot back ends. Participate in design, testing, debugging, CI/CD, containerized deployments, and collaboration within Agile teams.

Design, build, and scale backend services, microservices, APIs, and secure cloud applications for physical AI solutions. Integrate AI models and data pipelines, manage infrastructure across AWS, Azure, or GCP, implement testing and CI/CD practices, support real-time data systems, and mentor junior engineers. The role also requires front-end development with React and JavaScript, SQL database work, data visualization, production deployments, and frequent client-site travel.

Administer, maintain, monitor, and provide operational support for a secure, multi-tenant Kubernetes Platform-as-a-Service environment on Linux. Ensure platform reliability, scalability, security compliance, and performance by troubleshooting workloads, networking, storage, ingress, and infrastructure issues. Develop automation with Bash, Python, Ansible, and Helm; use monitoring tools and Git-based collaboration. Support integration, installation, configuration, upgrades, and maintenance of COTS/GOTS software.

Integrates, tests, evaluates, configures, and troubleshoots high-performance computing software stacks and systems. Develops Bash and Python automation, administers Linux and HPC environments, supports Slurm scheduling, shared filesystems, monitoring, networking, accelerators, and infrastructure-as-code tools. Diagnoses software and hardware issues using rigorous root-cause analysis and supports large-scale HPC systems and customers.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Designs, develops, and maintains enterprise software for federal digital services. Builds Java and Scala RESTful APIs, creates unit tests, troubleshoots defects across development through production, and uses Splunk for monitoring and log analysis. Collaborates with business analysts to identify design gaps, estimate feature work, and improve system functionality while supporting reliable software delivery across the full development lifecycle.

Design, build, and operate scalable APIs and event-driven backend services using TypeScript, Node.js, Python, Kafka, and PostgreSQL. Develop infrastructure as code and CI/CD pipelines, troubleshoot production systems, and participate in on-call support. Provide technical leadership through architecture reviews, API and event standards, code reviews, mentoring, and cross-team guidance. Help improve engineering quality, reliability, scalability, development tooling, and adoption of AI-assisted development practices.

Develop and lead implementation of mathematical optimization models for supply chain applications. Investigate heuristics and optimization techniques, translate real-world problems into software, and design comprehensive testing strategies. Build robust C++ software, automated functional, regression, and performance tests, and collaborate with agile teams. Apply AI and other tools to accelerate development while maintaining architectural consistency, security, and code quality. Review AI-generated code for correctness, integration risks, and edge cases.

Develop and maintain automated testing tools and frameworks for complex healthcare software. Create test plans, execute white-box, black-box, UI, API, and performance testing, identify defects and testing gaps, improve CI/CD processes, and collaborate with product managers and developers to support high-quality releases. The role also involves debugging code, participating in demos, and working with distributed teams in a remote environment.