Top Remote Software Engineer Jobs in Baltimore, MD

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Develops, tests, supports, and maintains scalable web applications and software components across front-end and back-end technology stacks. Partners with Product Management to design solutions, contributes to Agile planning and architecture, troubleshoots deployed products, reduces technical debt, and provides technical guidance to less experienced engineers.

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 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.

Test software across the development lifecycle, including Pega/QFD workflows, functionality, security, performance, UX, and data validation using Snowflake SQL. Create test plans, execute tests, document defects and evidence in Jira and BrowserStack, verify regulatory coverage, support SOC2 and PCI-DSS audits, investigate customer issues, participate in Agile ceremonies, and collaborate cross-functionally on release readiness.

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.

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.

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.

Develop and maintain cloud-based healthcare revenue-cycle software, build new features, modernize applications, perform code reviews and automated testing, address security vulnerabilities, troubleshoot production issues, and improve system performance. Collaborate with developers, product owners, support teams, and project leadership while applying Agile, CI/CD, TDD, and software development best practices.

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 and hands-on engineering for Entellitrak-based Defense Health IT systems. Develops and integrates Java/JEE components, interfaces, APIs, database schemas, and web services; troubleshoots production issues; supports testing, releases, deployments, and documentation. Maintains Microsoft SQL Server environments and ensures compliance with DoD cybersecurity, configuration-management, RMF, STIG, NIST, and testing requirements. Supports Agile delivery, authentication modernization, vulnerability remediation, incident response, and occasional after-hours production operations.

Build and ship full-stack fulfillment features covering refunds, replacements, reverse logistics, and servicing. Own features from design through deployment, release, and monitoring while developing scalable event-driven and AI-native applications. Build single-page applications, collaborate with designers and cross-functional teams, apply sound API and data modeling practices, and deliver AI/agentic features safely in production. Identify technical investments, communicate tradeoffs, and work independently through ambiguous problems.

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 implements compiler, runtime, and system software for Microsoft AI accelerator devices. Responsibilities include transforming code through LLVM IR, developing JIT compilation and dynamic code-generation features, deploying application code, and collaborating with hardware architects and ML developers. The role requires hands-on C/C++ and Python development, optimized systems-level programming, Unix-like platforms, and compiler framework experience.

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.

Develop and maintain high-volume, low-latency Java applications across the full software development lifecycle. Design, test, debug, and analyze software; resolve technical issues; identify infrastructure improvements; and contribute to architectural reviews. The role requires cloud development experience, clean coding and test-driven development practices, strong communication with cross-functional partners, and the ability to align technical work with business objectives.