Top Remote Software Engineer Jobs in Orlando, FL

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

Lead technical direction and hands-on execution for major software products and systems. Design scalable architectures across backend, frontend, APIs, databases, and infrastructure; write code; drive architecture decisions; solve production issues; improve testing, security, observability, and development practices; lead critical initiatives; and mentor engineers across distributed international teams.

Owns technical direction and hands-on execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes code; leads architecture decisions; resolves production issues; improves engineering quality; drives critical initiatives; and mentors engineers across teams.

Owns technical direction and hands-on execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes code; drives architecture decisions; leads critical initiatives from design through production; improves engineering quality through testing, security, observability, and development practices; and mentors engineers across teams.

Design, develop, modify, test, and maintain full-stack software applications. Engineers will understand product areas, codebases, and systems; write high-quality, tested code; analyze data; solve complex problems; collaborate with product and engineering teams; conduct design and code reviews; and mentor junior developers while delivering customer-focused products.

Lead full-stack growth engineering across eligibility, identity, access, client configuration, and reporting systems. Build Python-based GraphQL and REST APIs, React and React Native experiences, scalable database systems, and secure HIPAA- and GDPR-compliant solutions. Own ambiguous cross-domain technical projects, write RFCs, coordinate roadmap delivery, mentor engineers, contribute to engineering strategy, and participate in on-call operations and remediation.

Build and operate accessible, high-performance member-facing web applications using a front-end-first full-stack approach. Contribute to APIs, backend services, data flows, integrations, frontend architecture, testing, observability, and performance improvements. Own projects from concept through production, collaborate with Product, Design, Data, and Clinical teams, improve developer experience, support AI-assisted coding practices, participate in technical reviews and incident follow-up, and mentor engineers.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

The role involves building user-facing features, collaborating with product and design teams, and ensuring high-quality product delivery while optimizing performance across systems.

The Software Engineer will scale and optimize the platform's infrastructure, manage data layers, and enhance system operations to support growing LLM requests.

As a Software Engineer at OnePay, you will develop and implement features, build scalable products, and work closely with teams to enhance customer experiences.

Develop, integrate, and test spacecraft flight software across the full lifecycle. Implement and upgrade cFS-based applications, perform unit-to-platform verification in simulation and HIL/FlatSat environments, support integration with hardware and payloads, and participate in anomaly resolution, mission operations support, and proposal activities.

Build and operate Sourcegraph Cloud platform: develop inter-cloud connectivity, control plane orchestration, expose infrastructure APIs, debug and patch upstream IaC dependencies, ensure reliability and participate in on-call rotation to meet SLAs.

Develop and optimize distributed systems for syncing customer data, focus on scalability, reliability, and performance for global clients.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Develop and improve embedded graphics and compute drivers, customize products for embedded hardware and real-time operating systems, and profile and optimize drivers and applications. Write and review technical specifications while collaborating on reliable, high-quality safety-critical solutions. The role requires embedded software development, debugging, troubleshooting, and familiarity with graphics APIs, ARINC 653, and safety-critical development practices.

Design, architect, develop, test, and support scalable full-stack applications for a high-volume, multi-tenant data platform. Own features from design through delivery, contribute to technical strategy and roadmap development, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Apply cloud-native technologies and AI-assisted development practices while supporting near-real-time analytics and reliable production operations.

Build and operate Yahoo’s developer experience platform, including CI/CD infrastructure, artifact repositories, release pipelines, and ArgoCD GitOps deployments. Develop reusable golden-path workflows, AI-assisted automation, configuration validation, and platform tooling. Support pipeline troubleshooting, artifact management, runner optimization, observability, security practices, and developer adoption through migrations, documentation, office hours, and technical enablement.

Analyze emerging AI workloads and build analytical performance models and architecture simulators for current and future AI inference accelerator hardware. Collaborate with hardware, compiler, inference server, kernel, and product teams to validate assumptions, identify HW/SW optimization opportunities, incorporate architecture research, and document methodologies. The role is a hands-on technical contributor focused on performance analysis across the hardware/software boundary.

Lead architecture and delivery across Rails backends and React frontends, build Node.js and NestJS platform integrations, establish testing and code-quality standards, mentor engineers, review code, and improve reliability, performance, and developer experience. The role requires technical ownership across multiple backend technologies and leadership in AI-assisted development practices.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Design, build, and operate scalable, highly concurrent backend services in Go. Architect distributed, fault-tolerant systems, optimize performance and reliability, define APIs and service boundaries, improve observability and operational readiness, and collaborate cross-functionally to support mission-critical autonomous deployments.

Design, build, and maintain automated migration workflows to onboard dental practices. Implement C#, .NET, and PowerShell scripts, manage ETL processes and SQL data transformations, troubleshoot live routines, leverage AI tools to speed development, and produce technical documentation to ensure secure, reliable migrations.

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.