Top Remote Software Engineer Jobs in Tampa Bay, FL

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

The Deployed Engineer will build demos and POCs, support customer questions, manage technical relationships, update documentation, and collaborate with engineering to drive customer success.

Own and build frontend experiences across Air's web platform: translate product/design needs into high-quality UI, architect and ship features, improve component design and rendering performance, maintain a scalable design system, enforce accessibility and code quality, mentor engineers, and participate in reviews and hiring.

Lead design and implementation of scalable backend services and member-facing APIs using Python/Django, PostgreSQL, BigQuery/dbt and GCP. Own infrastructure as code (Terraform), container orchestration (Docker, Kubernetes), async/event-driven systems, observability, and performance tuning. Mentor engineers, collaborate with Product and Data teams, and ensure secure, low-latency, AI-driven member experiences.

Lead engineering for Partner Experience across Partner Acquisition & Delivery and Partner Reporting & Insights. Own team health, technical strategy, delivery velocity, and AI-native engineering adoption. Partner with product leadership on roadmap, coach engineering managers, drive architecture and resourcing decisions, and measure AI-augmented velocity while delivering partner onboarding, quoting, lead delivery, and reporting systems.

Senior IT leader responsible for leading a 30+ developer application development organization across multiple insurance lines. Owns modernization, legacy reduction, AI-enabled application delivery, cloud architecture, vendor evaluations, and roadmap alignment with business stakeholders while developing engineering managers and driving cross-line transformation.

Lead multiple engineering teams owning the patient journey, plus QA and Product Support across apps. Manage managers, set technical quality standards, stay hands-on in code, adopt AI-assisted development, solve cross-team reliability and observability problems, and partner with product, design, and clinical stakeholders to deliver reliable, high-value patient experiences.

Build, maintain, and enhance backend systems and APIs for high-traffic products. Collaborate with product and engineering, design REST APIs, work with cloud infrastructure (AWS/GCP), databases, testing, and Serverless/IaC to support cross-platform media experiences.

Design, build, and operate highly scalable cloud-native microservices and web applications. Own features from design through production, improve observability, CI/CD, and cloud infrastructure, mentor teammates, collaborate across teams, and leverage AI developer tools to automate and accelerate engineering workflows.

Lead technical direction for a major product domain, reduce architectural debt, mentor engineers, standardize AI-agent workflows, and design scalable backend solutions integrating LLMs and cloud services. Drive cross-team RFCs, cookbook standards, and adopt agentic AI tooling while balancing security, quality, and delivery.