Top Remote Software Engineer Jobs in Tampa, FL

As a Compiler Engineer, you'll enhance compiler performance, support multiple operating systems, develop toolchains, ensure interoperability, and contribute to open source.

Develop and improve real-time drone tele-operations features, cloud-based products, and quickly prototype new front-end experiences while transitioning to a new tech stack.

Develop and deploy life-saving technologies as a fullstack engineer, focusing on web applications for public safety, collaborating with various engineering disciplines and leveraging customer feedback.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

As a Software Engineer at MerusCase, you will develop and enhance software features, collaborate with teams, troubleshoot issues, and uphold coding standards while mentoring junior engineers.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Join Aleph's engineering team to develop the Core Product, focusing on user-facing features for financial data insights. Collaborate with leadership, design robust software components, and contribute to system architecture in a fast-paced, remote environment.

Lead the technical vision for complex systems, drive architectural strategies, write production-ready code, and align teams for public sector compliance.

The Software Engineer (Frontend) at Metabase will develop user-friendly data tools, leveraging React and CSS while ensuring optimal communication and coding practices.

Seeking exceptional software engineers to build and maintain user-friendly backend systems primarily in Clojure and JavaScript, focusing on product complexities and user experience.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

Join a remote Strategic Projects engineering team to turn AI-native prototypes into production-grade services. You will harden demos (LLM gateways, proxies, sandboxes), implement observability, error handling, and security practices, work with reference customers on integrations, and ensure agent-generated code meets production review and operational standards.

Lead design and delivery of large-scale, cloud-native services powering millions of devices. Architect solutions for scalability and integration, own full service lifecycle in Kubernetes, mentor engineers, participate in on-call support, and drive engineering best practices across cross-functional teams.

Build and operate an AI-native software development lifecycle across planning, coding, review, testing, deployment, and incident response. Develop internal AI agents, shared harnesses, CI/CD gates, automated QA, code reviewers, and developer workflows. Embed with engineering teams, ship on their backlogs, drive adoption, remove infrastructure and tooling blockers, and measure improvements in throughput, quality, cycle time, cost, and developer experience.

Design, build, and maintain scalable web applications for payroll and accounting. Collaborate with engineers and product partners, write tested code, participate in code reviews, contribute to architecture, improve CI/CD and monitoring, support production (including on-call), and communicate progress while continuously learning.

As a Senior 3D Software Engineer, you will develop advanced 3D algorithms while collaborating with cross-functional teams in an agile environment.

Build, operate, and maintain scalable backend services and Kubernetes clusters across AWS and Azure. Contribute production code, Terraform IaC, CI/CD/GitOps workflows, observability, and testing while learning from senior engineers.

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.

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.

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.