Top Remote Software Engineer Jobs in Baltimore, MD

Lead the technical vision, architecture, and implementation of large-scale cloud infrastructure powering Temporal Cloud. Drive multi-cloud compute, traffic, security, automation, scalability, performance, and reliability initiatives. Provide hands-on coding, technical mentorship, design review leadership, roadmap development, cross-team alignment, executive advising, and customer engagement while elevating engineering and operational excellence.

Design, build, and operate highly scalable, multi-tenant cloud storage systems for workflow data. Responsibilities include developing persistence APIs, storage abstractions, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLOs, chaos testing, profiling, and incident reviews; leading technical designs, mentoring engineers, and collaborating across teams.

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.

Build and operate Temporal Cloud’s managed compute platform, including autoscaling systems, multi-tenant execution services, cloud integrations, control and data plane boundaries, security controls, observability, and reliability practices. Lead API design, rollout, incident response, technical reviews, cross-team collaboration, and mentorship for production platform capabilities.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

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 and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

Leads software design, development, debugging, testing, deployment, and production support for web applications. Conducts code reviews, builds reusable code, improves legacy systems, monitors system health, optimizes performance, and responds to on-call incidents. Collaborates with engineering, product, design, customers, and vendors; mentors junior engineers; maintains development standards; and champions API-first development. Requires full-stack experience, cloud-native application deployment, database expertise, REST APIs, testing, and AI-assisted development workflows.

Develop and maintain high-scale JavaScript and TypeScript monetization solutions using Prebid.js, Prebid Server, and Google Ad Manager. Own the header bidding wrapper, integrate auction and ad-tech standards, optimize Core Web Vitals and client-side performance, operate Google Cloud services, review code, document architecture, and resolve production issues.

Lead frontend development for a satellite-data monitoring application serving defense and intelligence customers. Design and implement React and TypeScript features, guide frontend architecture, contribute to backend APIs, mentor engineers through reviews and technical discussions, and collaborate with product managers and designers. Own feature delivery from discovery through deployment while improving state management, data fetching, component design, testing, and frontend best practices.

Architect and develop foundational edge-computing runtime and integration platforms for connected-home devices. Build software models for device, spatial, and occupancy data; prototype and productionize new concepts; evaluate architectures; and provide technical leadership through design reviews, coding standards, mentoring, and cross-functional collaboration. The role spans edge computing, IoT, distributed systems, embedded environments, intelligent agents, networking, and secure systems within an exploratory R&D organization.

Design, implement, and maintain scalable backend systems supporting Alpaca’s financial ledger and brokerage infrastructure. Own high-visibility features from design through deployment, collaborate with finance, operations, product, and engineering stakeholders, and improve system health. Build performant, reliable, maintainable services using modern distributed systems technologies while ensuring the ledger remains a correct source of truth for account transactions, reporting, and compliance.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

Develop, test, and maintain web applications across the full application lifecycle. Write clean object-oriented code, implement REST APIs, work with relational and NoSQL databases, deploy to cloud-native infrastructure, participate in Agile teams, support production systems (on-call), and create automated tests for reliability and performance.

As a Software Engineer on the Edge team, you will own edge networking configuration, manage DNS, and improve observability while shaping the team's engineering practices.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.

The role involves developing APIs, building internal tools, and collaborating with teams to enhance system performance while solving engineering challenges.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

Design and build scalable log ingestion pipelines, ensure system reliability, and optimize performance in a high-throughput environment.

The Software Engineer will develop AI agents for Sazabi, focusing on anomaly detection, root cause analysis, and improving workflow reliability. Responsibilities include prototyping, system design, and working with LLMs.

Develop the interface for an AI-native observability platform. Responsibilities include building features, debugging, and working on real-time streaming functionalities.

Build and operate backend and platform services for the Wikidata Query Service and related data pipelines. Improve reliability, scalability, observability, and automation; respond to incidents; support migrations and deployments; integrate with other Wikimedia systems; participate in design, code review, documentation, and knowledge sharing.