Top Software Engineer Jobs in Orlando, FL

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Leads major technical initiatives while designing enterprise identity systems, authorization models, and scalable multi-tenant SaaS architecture. Builds platform components with .NET/C# on AWS, improves data pipelines, resolves complex production issues, and shapes the technical roadmap. Mentors engineers, drives architecture and reviews, coordinates across teams, and supports security, compliance, automation, and continuous platform improvement.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Build full-stack Django applications with a frontend focus, creating intuitive, interactive, and performant data visualizations for complex healthcare pricing data. Collaborate with product and engineering teams to define user experiences, prioritize features, write scalable code, test and debug systems, improve existing functionality, and translate user requirements into technical solutions.

Lead frontend architecture and implementation for Slate's digital customer experience. Drive design, code, testing, and delivery across web and mobile, mentor engineers, collaborate with UX/product, and make long-term technical trade-offs to ensure reliability and scalability.

Designs, develops, tests, and implements Guidewire solutions supporting insurance operations. Collaborates with business stakeholders, analysts, and developers to deliver high-quality implementations meeting business requirements. Requires expertise in Guidewire architecture, data models, APIs, integrations, web services, Java, SQL, and XML. Preferred experience includes Guidewire Cloud, reporting, insurance processes, Agile methodologies, certification, and DevOps tools.

Develop backend blockchain functionality for Cardax DEX on the Cardano blockchain. Write and maintain smart contracts in Plutarch and Haskell that define the constraints and conditions for decentralized token exchange without a central entity.

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.

Build and scale Geolava’s spatial intelligence products across frontend and backend systems. Design APIs, data models, and LLM agent workflows; own features from design through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to deliver reliable, polished solutions. The role requires strong product judgment, autonomy, production Python experience, full-stack TypeScript and React expertise, cloud infrastructure knowledge, and familiarity with agent loops, RAG, MCP, and geospatial technologies.

Build and maintain full-stack acquisition, signup, onboarding, activation, and early-engagement experiences. Ship and analyze A/B and multivariate experiments, instrument funnels and activation milestones, improve conversion-critical reliability, and develop frontend, backend, API, and analytics integrations. Partner with product, design, data, and marketing to turn growth hypotheses into durable product improvements. Use AI-assisted development tools while validating code quality and production readiness.