Top Remote Software Engineer Jobs in Baltimore, MD

Develop and support enterprise application integrations, SQL Server databases, SSIS ETL processes, Power BI reports, REST APIs, and data migration solutions. Troubleshoot production integration, reporting, and data-quality issues; collaborate with stakeholders on technical requirements; and support documentation, deployment, and release activities. The role is remote and requires strong SQL, systems integration, business intelligence, and data-integration experience.

Lead a small software engineering team supporting intelligence workflows. Build and maintain full-stack web applications, automate workflows, develop agentic AI tools, integrate data across agency elements, and support highside services. Engage directly with customers, leadership, analysts, and developers to understand mission needs, gather feedback, implement solutions, and deliver analytic and workflow support. Responsibilities also include relational database work, pipeline data processing, and cross-domain solution development.

Develop and maintain responsive frontend interfaces, dashboards, reports, and enterprise web applications. Translate requirements into functional user interfaces, build UI and automated tests, troubleshoot and optimize performance, implement REST API integrations and routing, and collaborate with backend developers and testers. The role requires React, JavaScript, Redux, Node.js, and related frontend technologies, with preferred experience in dashboards, reporting, testing, AWS, and government applications.

Own the design and evolution of edge data collection and integration for data centers. Lead protocol adapters, secure connectivity, point mapping, normalization, telemetry health monitoring, and automated site onboarding. Partner with architecture, product, and platform teams while managing a growing integrations team. The role requires extensive industrial IoT or operational technology experience, fleet-scale collector software, Python automation, streaming pipelines, containerized edge deployments, and data-center systems knowledge.

Evaluates AI-generated software code for correctness, quality, architecture, and debugging performance. Creates challenging coding problems, reference solutions, and test cases, then reviews model reasoning and provides detailed technical feedback to improve AI performance on real-world software engineering tasks.

Lead architecture, development, scaling, and reliability for SingleStore Helios, a multi-cloud SaaS platform. Design Kubernetes operators, controllers, networking, routing, and distributed control planes across AWS, Azure, and GCP. Build resilient Go and Python systems, support AI and vector workloads, resolve complex Tier-3 production incidents, and maintain compliance controls. Mentor engineers, author architecture documents, and influence cross-functional technical strategy.

Design, build, deploy, and maintain scalable backend services and APIs using Ruby on Rails. Lead retailer integrations, automate workflows, resolve integration issues, and improve platform reliability. Collaborate with cross-functional teams on requirements, technical designs, code reviews, testing, releases, documentation, and business solutions. The role includes on-call support approximately 10 days per month.

Build and operate reliable, maintainable software for appointment-based businesses. Own product and technical initiatives from design through production, collaborate with Product and Design, contribute to architecture, and develop frontend, backend, or full-stack systems. Ensure quality through testing, code review, observability, and production support while mentoring engineers and improving development practices with AI-assisted tools.

Lead a team building turbopuffer’s user-facing features, including dashboards, documentation, SDKs, observability, alerting, insights, and billing. Design and implement end-to-end developer experience improvements across web interfaces and the core database. Manage and grow a team, support hiring, help customers optimize workloads, and communicate complex concepts clearly. The role requires product-minded engineering leadership, strong web application experience, SaaS expertise, UX sensitivity, and technical people management.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.