Top Remote Software Engineer Jobs

Build and own full-stack healthcare software that automates benefit verification and prior authorization. Develop Python services, APIs, TypeScript and React interfaces, integrations, data models, and AI-powered workflows. Partner with product, AI, operations, users, and customers to define problems, ship reliable features, validate production outcomes, scale architecture, improve engineering quality, and mentor teammates.

Lead a small senior engineering team building and operating an AI-first location intelligence platform. Own architecture, production quality, customer-facing LLM systems, engineering delivery practices, security, observability, testing, incident response, and modernization. Remain hands-on with architecture, code reviews, debugging, and implementation while hiring, coaching, and developing engineers. Partner with the CEO and Applied Science Director to translate technical investments and AI research into reliable customer outcomes.

Leads agile software development and data integration efforts while remaining hands-on with coding, analysis, troubleshooting, root cause analysis, and system improvements. Ensures data governance, security, reliability, and performance; aligns technology with business strategy; supports audits and RFPs; oversees project planning, budgets, assignments, and delivery; presents data visualizations to senior management; and mentors and evaluates staff.

Design, build, deploy, and maintain full-stack applications spanning frontend interfaces, backend services, APIs, databases, integrations, and cloud infrastructure. Own complex systems, improve reliability and technical debt, make architectural decisions, mentor engineers, and contribute to code reviews and engineering practices. Evaluate AI-assisted development opportunities and collaborate with product teams, stakeholders, and customers to deliver secure, maintainable software capabilities.

Build and maintain systems-level software and custom visualization and data analysis tools for Army GEOINT users. Responsibilities include requirements analysis, software design, development, testing, performance evaluation, documentation, troubleshooting, and customer advising. The role applies computer science, engineering, and mathematical modeling to geospatial intelligence systems and requires collaboration with analysts, engineers, programmers, and project managers.

Own partner integrations from technical discovery through production launch and stabilization. Translate business and technical needs into integration designs, requirements, data mappings, and documentation. Investigate APIs, databases, logs, and code to troubleshoot issues; validate integrations through testing and data verification; and coordinate product, engineering, underwriting, operations, and external partners. Use AI-assisted tools to create specifications and guides, improve integration patterns, and drive progress through influence and clear communication.

Develop and maintain PowerUp Sports’ software platform, build and release new features, integrate technologies, optimize PHP applications on Azure, manage SQL Server databases, participate in code reviews, mentor junior developers, and support scalable, reliable architecture.

Leads a distributed software engineering team responsible for hiring, coaching, delivery, quality, reliability, and technical execution. Partners with product and architecture teams to prioritize work, evaluate designs and estimates, resolve root causes, promote secure development, testing, CI/CD, observability, and incident response, and improve engineering practices. Requires strong C# and .NET expertise, people management experience, cloud development knowledge, and the ability to deliver complex software with remote teams.

Develop, configure, deploy, and support scalable Salesforce solutions and integrations. Responsibilities include translating requirements into secure applications, building API and event-based integrations, managing data quality and security, participating in the software development lifecycle, conducting testing and code reviews, maintaining CI/CD pipelines, troubleshooting production systems, and collaborating with technical and business stakeholders.

Lead design and development of enterprise software solutions using Java and Cursor AI. Provide technical leadership, mentor engineers, define architecture and roadmaps, implement cloud-native, microservices, CI/CD and infrastructure-as-code practices, and collaborate across product and engineering teams to deliver performant, secure systems.