Top Remote Software Engineer Jobs in Orlando, FL

The Software Engineer will design, implement, and maintain real-time services for Twilio's Voice Trust team, ensuring robust and high-throughput communication solutions. Responsibilities include gathering requirements, coding, testing, and on-call support in a distributed production environment using Agile methodologies.

Design, build, deploy, and operate resilient, large-scale backend services and Kubernetes clusters across AWS and Azure. Implement GitOps/CI-CD, automate infrastructure with Terraform, ensure observability and reliability, identify technical debt, and mentor junior engineers.

Deploys, integrates, operates, and optimizes high-performance NFS storage for Kubernetes, bare-metal, GPU, and AI workloads. Responsibilities include CSI integration, Linux and NFS tuning, cluster storage operations, air-gapped deployments, infrastructure-as-code with Terraform/OpenTofu, GitOps pipelines, observability, and end-to-end troubleshooting of storage performance, reliability, and scaling issues.

Develop and maintain secure full-stack web applications using React, C#, .NET, SQL Server, Azure, and related technologies. Design integrations through web APIs, analyze requirements, debug defects, conduct root-cause analysis, write unit tests, perform code reviews, and document implementations. Participate in Agile ceremonies, follow OWASP security practices, uphold coding standards, automate processes, and collaborate with technical and non-technical stakeholders. This is a full-time temporary role through the end of 2026.

Develop, enhance, test, deploy, and support clinical applications within the IHS RPMS system. Analyze requirements, translate designs into code, troubleshoot complex software issues, address accessibility and security considerations, support testing and documentation, provide customer support, and report on technical findings and project progress while collaborating with multidisciplinary teams.

Design, build, and scale resilient distributed payment systems handling 1,000+ transactions per second. Collaborate with Product, Revenue Operations, Cloud Platform, and Security teams to shape product requirements and roadmaps. Lead AI-augmented software delivery, code reviews, testing, observability, performance optimization, incident response, on-call rotations, and root cause analysis while maintaining strict security, reliability, and low-latency standards.

The Senior Software Engineer will build user features using Golang and cloud technologies, lead tool implementation, and collaborate across teams to enhance productivity.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Lead architecture and multi-year technical strategy for financial data pipelines and reporting. Design and deliver backend services in Go, ensure accuracy, timeliness, and auditability of financial data, and partner with Finance/Accounting/Tax to translate regulatory requirements into scalable systems. Mentor senior engineers and set architectural standards across Financial Engineering.

Build and scale full-stack customer and agent support experiences across React/TypeScript frontends and Go backend services. Own APIs, integrations, and AI/ML vendor integrations, drive CX outcomes through experimentation and metrics, improve reliability through on-call incident response, and collaborate with Product, Design, and Ops to deliver measurable product outcomes.

Design and deliver improvements to Wikipedia’s wikitext processing infrastructure, write PHP and JavaScript, maintain internet APIs, instrument components, and use caching and persistence technologies. Collaborate across engineering, product, design, client, and volunteer communities; own complex technical projects, make architectural decisions, maintain reliable high-performance software, write tests, address security feedback, and mentor engineers.

Designs and develops hyperscale Azure Storage backend technologies, improving reliability, scalability, observability, and engineering productivity. Leads technical strategy and high-impact initiatives across teams, architects engineering systems and pipelines, advances test automation, investigates networking and deployment issues, and improves development workflows. Responsibilities include coding, requirements analysis, design documentation, estimation, dependency identification, and on-call response for service degradation and outages.

Lead the architecture and delivery of scalable compliance-platform capabilities for government vendors, federal agencies, and SLED organizations. Design new workflows, shared infrastructure, and tagging systems while partnering with engineering, product, go-to-market teams, and early design partners. Translate evolving requirements into durable solutions, lead complex cross-functional projects, and help shape engineering culture in a rapidly scaling environment.

Lead development of Elasticsearch vector similarity search capabilities, including designing algorithms and data structures, implementing features, fixing bugs, and improving code quality. Collaborate asynchronously with a globally distributed engineering team and open-source community. Serve as a subject-matter expert on vector search relevance and implementation while contributing modern Java code and guiding cross-functional initiatives autonomously.

Own the design and implementation of WISEcode’s automated quality engineering ecosystem. Build AI-augmented UI, API, integration, regression, database, performance, and reliability testing frameworks for ASP.NET and Blazor applications. Integrate testing into CI/CD, improve observability and release confidence, investigate failures and race conditions, validate AI/ML outputs, and establish scalable quality standards and metrics across engineering teams.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Lead the technical direction, architecture, and development quality of complex Android applications. Mentor engineers, integrate backend services, support offline-first functionality and diverse hardware, oversee CI/CD and releases, and document engineering standards. The role also involves robotics integrations for public safety use cases, including drones and body-worn cameras, while collaborating with technical and non-technical stakeholders.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Design, implement, test, optimize, and document secure networking software for the LynxOS-178 real-time operating system. Develop embedded network protocols and services, analyze RTOS, hypervisor, and network performance, troubleshoot kernel-level issues, and support POSIX/ARINC 653 applications and certification data. Collaborate across teams on integration, reliability, interoperability, and performance while using Agile, CI/CD, scripting, and debugging tools.

Develop and maintain backend applications using .NET, C#, Redis, OpenSearch, AWS, and cloud-native technologies. Responsibilities include troubleshooting software issues, optimizing performance and reliability, conducting code reviews, supporting applications, and leading software and process improvements. The role also involves mentoring colleagues, collaborating independently or with teams, and ensuring high-quality software delivery.

Leads architecture, design, coding, delivery, and technical quality for complex software systems across an application family. Guides vendors and engineering teams, mentors developers, partners with architects, modernizes technology, establishes reusable practices, and leads incident response and root-cause analysis. Requires extensive .NET experience, microservices workflow orchestration knowledge, Agile development experience, and strong cross-functional leadership.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Develop backend software using C# and T-SQL for import functionality, performance optimization, and migration tooling. Design, implement, test, debug, document, and review high-quality code while managing integration and deployment tasks. Collaborate with product management on enhancements, participate in agile ceremonies, maintain security and regulatory compliance, and support critical issues through an on-call rotation.

Build and maintain full-stack systems for a global monitoring application supporting federal partners and satellite data access. Responsibilities include designing scalable backend services and frontend applications, improving architecture and infrastructure, integrating complex customer requirements, and owning mission-system quality and availability. The role requires collaboration across teams throughout the engineering lifecycle and experience with cloud infrastructure, observability, geospatial data, and complex integrations.