Top Senior Software Engineer Jobs in Baltimore, MD

Maintains and troubleshoots containerized applications in Kubernetes, supports mission services and customers, develops new functionality, automates workflows, and manages CI/CD, infrastructure, documentation, and source control in a Linux environment.

Design and develop highly available, fault-tolerant distributed edge computing platforms using Go, Kubernetes, microservices, and cloud technologies. Build scalable APIs, troubleshoot complex systems, conduct code reviews, optimize performance and security, collaborate cross-functionally, mentor engineers, contribute to planning, and maintain technical documentation.

Develop and enhance a mature full-stack intelligence platform, including Java REST APIs, data ingestion pipelines, processing workflows, NoSQL storage, and analyst-facing visualizations. Responsibilities include designing scalable microservices, optimizing Elasticsearch and graph databases, improving testing and documentation, managing Jira work, collaborating with analysts and product owners, mentoring teammates, and streamlining onboarding of new data sources. The role also involves using modern development tools, AI platforms, dataflow technologies, and software engineering best practices.

Develop and maintain scalable SaaS solutions for financial reporting and capital markets customers. Responsibilities include full-stack development, system design, testing, monitoring, performance optimization, security, technical debt reduction, and collaboration with product managers, developers, and SRE teams. The role requires building reliable, secure, maintainable data-driven applications and contributing across the software development lifecycle.

Build and operate backend services for stablecoin payments, including deposits, withdrawals, on/off ramps, wallets, and virtual accounts. Integrate crypto partners with existing banking, ledger, and payment systems while developing KYB and compliance workflows. Own projects from design through production, ensure reliable money movement, influence technical direction, collaborate cross-functionally, and mentor engineers.

Build and ship end-to-end features across consumer marketplace and business administration products. Develop TypeScript, React, React Native, Node.js, Rails, and related services while using AI coding agents. Own software quality through design, testing, observability, telemetry, and gradual rollouts. Partner with Product, Design, AI Platform, and Data teams; modernize legacy systems, develop AI-powered features, participate in on-call, mentor engineers, and improve team workflows.

Lead architecture and engineering for a new Provider Onboarding team. Build scalable, database-backed systems and custom tools supporting pricing, payments, client panels, and forms. Establish engineering practices, mentor senior engineers, guide cross-functional delivery, and oversee the full software development lifecycle from planning through post-launch maintenance. The role requires healthcare systems experience and ownership of complex, reliable products.

Lead architecture and development for a new Provider Onboarding engineering domain. Build scalable full-stack, database-backed applications and microservices supporting pricing, payments, client panels, forms, and provider workflows. Mentor engineers, establish design patterns, drive cross-functional delivery across the full software lifecycle, and improve operational reliability for a healthcare platform.

Build and own customer-facing backend product features from design through delivery. Scale systems processing high-value transactions, architect reliable infrastructure for complex business logic, and work autonomously in a fast-moving startup. Use code-generation assistants daily with reviewer oversight, applying strong algorithms, data structures, and software architecture skills. The role is remote and full-time in the United States.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial APIs, map-matching and routing foundations, and reusable platform capabilities. Scale storage, querying, and computation for real-time features, consolidate team-specific solutions, mentor engineers, lead cross-team technical projects, and represent the company in the geospatial community.

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.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Build and maintain Airbnb’s cloud infrastructure platform, including developer APIs, CLIs, Kubernetes automation, service provisioning, autoscaling, multi-region capabilities, and AI-native agent workflows. Improve platform reliability, security, scalability, and developer experience; contribute to open-source infrastructure projects; debug production issues; and collaborate with engineering teams across Airbnb.

Build and operate custom data applications and AI agents for mid-market clients. Own engagements end to end, including discovery, system design, coding, deployment, production iteration, and client demos. Develop LLM features, establish AI-native engineering practices, deploy reliable applications across cloud platforms, create reusable components, and help shape the technical stack, processes, and growing engineering team.

Design and maintain AI agents, automated workflows, connectors, and middleware for software integration, release readiness, testing, and deployment. Build a structured software knowledge base and integrate systems including Jira, Confluence, GitHub, Microsoft 365, and Monday.com. The role requires automating ambiguous software management processes, ensuring observability and error handling, and collaborating across teams. This is a full-time remote position, with a preferred location in the San Francisco Bay Area.

Design and deliver production-grade backend systems powering Temporal Cloud namespaces, audit logs, export, and data products. Architect scalable data pipelines and storage systems, establish data quality and observability standards, lead technical direction, improve reliability and incident response, collaborate cross-functionally, and mentor engineers. The role emphasizes distributed systems, operational excellence, customer experience, and resilient cloud architectures.

Lead backend engineering modernization efforts by designing scalable microservices and REST APIs, migrating systems to cloud architectures, optimizing databases, maintaining CI/CD pipelines, and ensuring system security, availability, and reliability. Mentor developers, guide technical strategy, collaborate cross-functionally, and support infrastructure and domain management. The role requires strong C# and .NET expertise, cloud experience, software architecture knowledge, and backend development leadership.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Break down projects, collaborate with product, design, and analytics teams, develop scalable APIs, write well-tested code, monitor service health, participate in on-call support, review code, and contribute to engineering growth and interviewing.

Develop cloud security platform and product services using Golang and Python in a high-traffic environment. Own features from requirements through release, build modular infrastructure, integrate components, solve technical challenges, and collaborate with cloud, product, data science, and DevOps teams. The role also involves designing threat detection solutions, working with distributed systems and NoSQL databases, mentoring junior engineers, and promoting engineering best practices.

Senior full-stack engineer responsible for designing, building, testing, deploying, and supporting scalable lead capture, routing, tracking, and advisor-facing platform features. The role is approximately 70% frontend and 30% backend, using NestJS, Node.js, React, AWS, databases, event-driven architectures, CI/CD, automated testing, analytics, observability, and LLM-backed functionality. Responsibilities include architecture, production troubleshooting, performance optimization, technical planning, code reviews, documentation, and mentoring.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.

Leads architecture and production delivery of a near-real-time observability platform for large-scale AI supercomputers. Responsibilities include telemetry ingestion, processing, storage, querying, topology and health modeling, 1P/3P data convergence, AI-assisted anomaly detection, technician dashboards, repair validation, security, reliability, cross-team technical leadership, and mentoring.

Leads full-cycle technical implementations of a cloud-native digital banking platform, including requirements discovery, configuration, custom development, integrations, testing, data migration, environment management, deployment, and production support. Serves as the primary technical client contact, translates business needs into solutions, troubleshoots technical issues, coordinates cross-functional delivery, and improves implementation processes, documentation, tooling, and reusable components.