Top Remote Software Engineer Jobs

Develop, maintain, enhance, and support a mission-critical federal Java application for HUD servicing, accounting, reporting, and compliance. Build full-stack interfaces and REST APIs, optimize SQL and database workflows, troubleshoot production issues, participate in Agile development and releases, support testing and deployments, document procedures, and contribute to modernization and technical debt reduction. The role collaborates with product, QA, database, infrastructure, configuration management, and security teams.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Designs, develops, maintains, and improves applications and operating systems on the IBM iSeries platform. Analyzes and resolves technical issues, documents findings, recommends solutions, collaborates with network staff, and leads projects from definition through implementation. The role develops manual and automated procedures to support business processes and ensures reliable, efficient system operation.

Configure, develop, enhance, and support the Global MES solution (AVEVA MES). Build workflows, forms, integrations, SQL scripts, and JavaScript customizations. Support testing, deployments, troubleshooting, site rollouts, and continuous improvement across manufacturing sites while collaborating with analysts, architects, and site teams.

Own PayBox end to end as a founding-style staff engineer, taking the AI payments product from problem definition through production and iteration. Build payment, peer-to-peer transfer, AI platform, application, and ecosystem integrations. Improve onboarding and UX, make pragmatic architectural decisions, collaborate with Product, and use AI tools while maintaining strong independent technical judgment.

Full‑stack product engineer role with backend emphasis: build scalable Node.js services, develop React + TypeScript UIs (React Router v7), design APIs (tRPC/OpenAPI), optimize PostgreSQL queries and data pipelines, improve observability and infrastructure, write well‑tested code, and contribute to architecture and engineering practices in a fintech product.

Designs and deploys BPMN and DMN automation processes in Camunda 8, configures AI-driven customer support workflows, and supports production automation scenarios. Integrates processes with REST APIs, JSON, and Kafka, troubleshoots active workflows, and delivers continuous improvements. Partners with product, technical, analytics, and business teams to clarify requirements, implement AI and LLM capabilities, and promote automation across the organization.

Designs and guides application architectures, creates technical specifications and models, and ensures solutions meet enterprise standards for scalability, performance, security, and maintainability. Provides technical direction and mentorship to development teams, collaborates with enterprise and solution architects on integrations, reviews application quality, and evaluates development technologies and frameworks. Requires strong software architecture, database design, integration, documentation, and communication skills.

Design, build, test, and support EPIC integration solutions across the full interface lifecycle. Gather requirements, resolve integration issues, develop standards and documentation, and provide production support within a remote, volunteer, part-time setup.

Develop and maintain high-frequency trading systems, implement optimized production code from quantitative prototypes, and contribute to data pipelines, simulators, backtesting, and monitoring software. Interns may rotate across quantitative research and development tracks involving statistical arbitrage and market-making strategies for commodities and digital assets. The role includes collaboration with infrastructure teams, quants, and traders, plus coding assessments and quantitative interviews.