Top Remote Software Engineer Jobs in Baltimore, MD

3-month contract Frontend Engineer to build client-facing UIs and integrations for cybersecurity use cases. Collaborate with product, design, and engineering to deliver secure, performant, scalable features, maintain component libraries and automated tests. Remote (GMT+8) role focused on TypeScript and modern web tooling.

Freelance Senior Developer responsible for improving an established web application by resolving technical debt, troubleshooting issues, addressing accessibility concerns, and maintaining delivery within an existing sprint process. The role requires independent ownership, clean pull requests, collaboration with backend engineering, QA, and Production, and proactive communication of risks and dependencies.

Leads and coaches a team building and maintaining integrations between a cybersecurity platform and third-party technologies. Responsibilities include technical design reviews, code reviews, troubleshooting, direct engineering contribution, delivery planning, stakeholder collaboration, process improvement, and team development. The manager balances new integrations, maintenance, customer needs, and technical debt while promoting reliable engineering practices and practical use of AI-assisted development tools.

Lead technical direction and delivery for order management systems supporting checkout, order lifecycles, fulfillment orchestration, and partner integrations. Design reliable distributed services and workflows, make architectural tradeoffs, and improve scalability, correctness, observability, testing, and operational readiness. Partner cross-functionally to define scope and outcomes, lead incidents and remediation, manage launches, and mentor engineers. Work across Go, Ruby on Rails, PostgreSQL, AWS, Kafka, Temporal, Datadog, and AI-assisted development tools.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Lead architecture and development of custom business applications that automate legacy workflows for SMB clients. Translate business processes into scalable CRM, project-management, integration, and operational software using AI-assisted development through Replit. Ensure application security, reliability, infrastructure stability, and performance. Design integrations with legacy systems such as Sage 300, and eventually recruit and mentor a development team while establishing AI-augmented engineering practices.

Leads engineering support and architecture for enterprise-scale healthcare data platforms on Azure. Designs Databricks, Synapse, Data Factory, and Data Lake solutions; builds batch and real-time pipelines, analytical data models, BI solutions, and automated data quality frameworks. Implements machine learning and AI-assisted development, integrates low-code systems, ensures HIPAA compliance, and translates business needs into technical solutions. Mentors engineers, resolves technical issues, supports Agile delivery, and partners with healthcare business leaders on Medicare and Medicaid analytics initiatives.

Build and maintain end-to-end product features across frontend, backend, and databases. Design APIs, authentication, data models, integrations, and AI-assisted workflows. Ship production-ready SaaS components, debug across the stack, improve reliability and performance, and collaborate on product and architecture decisions in an early-stage startup.

Design, implement, and maintain scalable, high-performance backend services for Home Assistant Cloud. Work on authentication, subscriptions, and payment services, participate in code reviews, collaborate cross-functionally, apply security and data-protection best practices, and operate production systems including troubleshooting and improving reliability and performance.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.