Top Software Engineer Jobs in Baltimore, MD

Administer, maintain, and support the PaaS component of a secure, multi-tenant Kubernetes-based compute environment. Integrate, install, configure, upgrade, and sustain COTS/GOTS software on Linux. Ensure cluster reliability, scalability, security compliance, and performance; troubleshoot workloads; automate with IaC/Ansible, Helm, and scripting; monitor with Prometheus/Grafana; and manage source control with Git.

Administer, maintain, and support a Linux-based PaaS Kubernetes environment: integrate and deploy COTS/GOTS software, manage cluster reliability and security, troubleshoot workloads, automate with IaC (Ansible), write Helm charts, script (Bash/Python), and monitor using Prometheus/Grafana.

The role entails managing system requirements, coordinating design and testing efforts, and developing documentation for systems engineering projects, requiring significant software experience and expertise in Python and Linux.

Develop, maintain, and enhance software systems focusing on data pipelines, machine learning analytics, and cloud technologies while integrating models within defense systems.

Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.

As a Senior Software Engineer, you'll design, develop, and maintain full-stack applications, utilizing TypeScript and modern frameworks while collaborating cross-functionally to enhance user experience and performance.

Design, develop, test, and document classification‑marking and access‑control software for mission systems and M365 apps. Implement features, extend validation tools, create unit and functional tests, Dockerize applications, use AWS and GitLab CI, troubleshoot issues, conduct code reviews, and collaborate with customers and teammates throughout the software lifecycle.

Own end-to-end supplier integrations: design, implement, test, and monitor third-party APIs. Ship weekly, improve tooling and abstractions, ensure reliability, and mentor peers. Use AI-assisted workflows to speed integration development.

Own and advance Yahoo’s enterprise Node.js development environment, including runtimes, packages, container images, internal integrations, and CI/CD workflows. Manage runtime lifecycles, security updates, dependencies, releases, testing, automation, and troubleshooting. Support GitHub Enterprise and GitLab Enterprise while integrating AI programming tools to improve developer productivity. Partner across engineering and security teams, and document platform changes, migrations, and deprecations.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Design and develop backend distributed systems for 5G non-terrestrial networks, Direct-to-Cell services, satellite orchestration, and terrestrial network coordination. Build scalable cloud-native software using C++, Golang, Java, gRPC, Protocol Buffers, and Kubernetes. Translate 3GPP and O-RAN specifications into reliable software, integrate platform components, document implementations, troubleshoot issues, and collaborate with telecom solution architects.

Designs and implements analytics and query capabilities in Elasticsearch, develops data-intensive features, resolves complex bugs, optimizes data structures and algorithms, and contributes modern Java code. Collaborates autonomously with globally distributed engineering, UI, solutions, and open-source communities. Provides technical expertise, guides projects from design through delivery, and uses AI to accelerate development, debugging, and code optimization.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Design, build, and optimize Java-based data pipelines and integrations from SQL/NoSQL and cloud sources. Create BI dashboards and automated reports, design storage for structured/unstructured data, document processes, and follow production deployment best practices to deliver actionable analytics.

Design and build cloud-native ETL/ELT pipelines and microservices, modernize on-prem systems to distributed services, implement authentication/authorization and data governance, ensure data quality and observability, drive architecture and CI/CD best practices, mentor engineers, and collaborate with stakeholders across a US Navy-focused defense program.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Design, implement, and operate features for Temporal’s open source distributed systems server. Solve challenges involving scheduling, task processing, workflow execution, persistence, quotas, visibility, and performance. Improve reliability through testing, observability, dashboards, alerts, runbooks, and documentation. Collaborate across engineering and product teams, participate in design reviews, contribute to developer experience, and mentor junior engineers.

Lead initiatives that enable production-like system testing across engineering. Build realistic test environments, workload generation and replay, fault-injection tooling, shared testing frameworks, and continuous or release validation. Partner with infrastructure, reliability, release, and product teams to convert incident learnings into durable test coverage. Mentor engineers, influence testing strategy, and improve observability, debuggability, and operational readiness.

Design, evolve, and operate core data models and APIs for complex communications networks. Build durable abstractions for heterogeneous physical and logical networks, while maintaining interface quality, compatibility, consistency, and performance. Collaborate with experienced engineers to manage priorities, timelines, and deliverables across production systems. The role requires strong software engineering fundamentals and proficiency in Golang, C/C++, Rust, or Java.

Lead the design and development of globally scalable traffic management and networking systems. Drive architecture, technical roadmaps, secure-by-default infrastructure, network optimization, cloud orchestration, and operational excellence. Partner cross-functionally with engineering, product, security, customers, and internal teams while mentoring engineers and guiding high-impact distributed systems projects.

Designs and builds scalable, reliable infrastructure systems across compute, networking, cloud orchestration, storage, and observability. Drives technical strategy, architecture, roadmaps, cross-team alignment, cost optimization, and secure-by-default practices. Requires extensive experience with coding, concurrent and distributed systems, cloud platforms, system-level tradeoffs, and infrastructure engineering.

Lead the architecture and delivery of scalable backend systems supporting customer onboarding, account lifecycle management, billing, metering, marketplace integrations, revenue data synchronization, and customer-facing usage reporting. Build reliable distributed systems, data pipelines, and integrations while ensuring correctness, observability, compliance, and operational readiness. Partner with Finance, RevOps, Sales, Support, Product, and Engineering, provide technical leadership, mentor engineers, and improve customer and developer experiences.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Design, build, and maintain software systems (data platforms, real-time analytics). Collaborate with stakeholders to deliver features, write/test/debug code, implement algorithms, create documentation, and ensure software quality and performance.