Top Senior Software Engineer Jobs in Baltimore, MD

Designs, develops, integrates, and tests embedded real-time software for undersea payload systems. Works through the full software development lifecycle using C++, Python, Linux and/or Windows. Participates in agile scrum teams, design reviews, technical peer reviews, requirements verification, hardware integration, debugging, and cross-functional collaboration. Provides technical leadership and recommendations while ensuring software and system requirements are satisfied.

Design, build, operate, and maintain highly available distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features end to end, improve reliability and performance, review code and designs, manage releases, participate in follow-the-sun on-call rotations, and collaborate remotely with teammates and customers. Work primarily with Go across Kubernetes-based cloud infrastructure and observability systems such as Mimir, Loki, Tempo, and Pyroscope.

Develop and maintain Intelerad’s Unified Storage Layer and cloud storage services for medical imaging applications. Responsibilities include designing software features, translating support and stakeholder requirements into solutions, debugging cloud infrastructure, managing Kubernetes, Terraform, AWS, and CI/CD environments, reviewing code, documenting systems, and delivering work within an Agile/Scrum team.

Build and maintain authentication and fine-grained authorization systems using Auth0 and OpenFGA. Own OAuth 2.0 and OpenID Connect implementations, identity federation, token flows, and permissions for AI agents. Lead cross-team technical projects, set engineering standards, review code, and mentor engineers. The role requires strong backend development skills and experience with identity providers, ReBAC systems, and complex multi-tenant authorization models.

Build and own OpenRouter’s financial infrastructure, including flexible pricing, quote-to-cash automation, usage metering, billing, payments, collections, double-entry ledgering, provider settlements, and reconciliation. Ensure financial correctness through idempotency, auditability, anomaly detection, and access controls. Partner with Provider, Trust & Safety, Sales, Customer Success, and Finance teams to deliver scalable usage-based financial systems.

Designs and evolves AWS infrastructure as code using CDK, develops backend software primarily in TypeScript, and applies secure engineering practices for regulated environments. The role contributes to architecture, code reviews, CI/CD pipelines, production support, observability, and on-call operations. It collaborates cross-functionally, builds scalable and reusable systems, supports SOC 2 compliance, and uses AI coding assistants to improve development, testing, and documentation.

Own and deliver complex full-stack software features for custom labs and related applications. Design, build, test, document, and maintain APIs, databases, user interfaces, infrastructure, and libraries using C# or JavaScript/TypeScript. Lead AI-assisted development workflows, review generated code, ensure security and quality, collaborate with cross-functional Scrum teams, estimate scope, and participate in on-call support.

Build and operate production Web3 products across backend, frontend, and smart contracts. Develop Go and TypeScript services, React dApps, SDKs, tokenization infrastructure, smart-wallet integrations, and blockchain event processing. Own on-chain/off-chain architecture, security, testing, observability, deployments, and on-call operations. Review code and configure AI-assisted engineering tools for the repository.

Develop and maintain C#/.NET software for electric and gas distribution engineering tools. Implement features, fixes, integrations, tests, and CI/CD automation while configuring enterprise systems for customer needs. Collaborate in Scrum, participate in reviews, reduce technical debt, document processes, and mentor teammates. The role may involve GIS or Enterprise Asset Management integrations and requires strong software development experience in utility or energy infrastructure environments.

Build and own mobile SDKs for identity and fraud prevention products, focusing on Android development, device-level signal collection, authentication, and emerging agentic identity use cases. Partner with product and engineering leaders on architecture and roadmap decisions, improve observability and production resilience, mentor engineers, and drive technical initiatives across Twilio and Stytch.

Design and implement automation for a mission-critical platform, monitor AWS infrastructure health, and troubleshoot production issues across distributed Docker-based systems. Collaborate with development teams to improve reliability, scalability, resiliency, and operational efficiency. Apply Infrastructure-as-Code, container orchestration, scripting, monitoring, alerting, and incident response practices while supporting continuous improvement and leading small to mid-size software development activities.

Owns system and integration testing for Cisco Secure Firewall products across physical, virtual, and cloud environments. Develops risk-based test plans, automates testing with Python, validates networking and security workflows, investigates complex failures, maintains test environments, and documents defects. Performs regression, upgrade, resiliency, scale, stress, and compatibility testing while collaborating with development, platform, product, and release teams.

Maintains and troubleshoots containerized applications, upgrades services, and supports development of new functionality. Integrates, installs, configures, compiles, and supports COTS/GOTS software across heterogeneous operating systems. Automates administrative workflows using Bash or PHP, develops with Python and Java, applies IaC and CI/CD practices, manages Docker environments, documents system changes, and uses Git for collaborative source control.

Design, develop, maintain, and modernize backend web applications and services using C# and .NET. Analyze legacy systems, improve architecture, write unit tests, conduct code reviews, troubleshoot production issues, and build RESTful services. Collaborate with engineering, product, architecture, and project stakeholders to deliver scalable, maintainable solutions. The role also evaluates cloud-native technologies and supports continuous improvement across the FacilityOS platform.

Serves as the customer-facing operations point of contact for software integration, request triage, technical requirements gathering, and mission support. Integrates, configures, upgrades, and sustains COTS, GOTS, and FOSS software in Linux environments. Supports Big Data frameworks, CI/CD, infrastructure automation, containerized services, Kubernetes deployments, monitoring, source control, provisioning, storage, and networking.

Designs, develops, maintains, and supports tools and services integrating Atlassian products including Jira, Confluence, Bitbucket, and Bamboo. Responsibilities include configuring and customizing integrations, scripting automation with Bash, Python, or Groovy, troubleshooting failures and performance issues, testing reliability, and collaborating with developers, administrators, project managers, and mission customers. The role requires Linux CLI experience and support for heterogeneous Unix environments.

Design and implement high-throughput, low-latency GPU or FPGA acceleration pipelines for a government mission program. Develop accelerator kernels, host-side APIs, device drivers, and runtime libraries in C/C++. Optimize GPU microarchitecture, data streaming, occupancy, and memory utilization while collaborating with software engineers, algorithm researchers, and system architects.

Develop and maintain Cognos BAI dashboards, data models, analytics products, Power Apps, Power Automate workflows, and SharePoint solutions. Lead software design, integration, automation, modernization, testing, and documentation while ensuring eMASS, RMF, and STIG compliance. Support Army intelligence mission requirements, customer intake, workflow troubleshooting, and technical communications. The role requires an active TS/SCI clearance, potential CI polygraph, DoD IAT Level II certification, U.S. citizenship, onsite work at Fort Meade, and occasional travel.

Leads architecture, development, debugging, and optimization of embedded Linux platforms for automation products. Owns Yocto builds, kernel configuration, drivers, real-time applications, BSP integration, performance, security, and lifecycle strategy. Provides technical leadership, mentors engineers, resolves hardware-software issues, and collaborates with hardware, manufacturing, testing, and product teams on platform roadmaps and standards.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, improving data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering skills, production systems experience, and proficiency in Python, Bash, and Linux, with preferred experience in web crawling, distributed processing, GCP, Terraform, and audio or ML training data.

Build large-scale data pipelines and processing systems that produce high-quality audio datasets for AI model training. Discover data sources, optimize throughput, quality, and cost, operate production systems, and collaborate with AI scientists on next-generation models. The role requires strong backend software engineering, independent problem-solving, and ownership of projects from discovery through continuous improvement.

Build and operate large-scale data pipelines that collect audio data for AI training. Responsibilities include discovering data sources, optimizing data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale data pipelines for AI training datasets, including discovering audio sources, processing data efficiently, optimizing quality and cost, and collaborating with AI scientists. Own engineering projects from discovery through implementation and continuous improvement. The role requires strong backend software engineering, production systems experience, Python and Bash proficiency, and independent problem-solving in ambiguous environments.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable data-processing systems, optimizing data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.