Top Software Engineer Jobs in Orlando, FL

As a Software Engineer at Canonical, you will collaborate globally to shape open-source software operations, focusing on Python and Golang development, enhance DevOps workflows, and improve infrastructure operations for cloud computing solutions.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

Build and ship production-grade features across frontend and backend, scope and lead projects, mentor engineers, and contribute to product and technical roadmap using the company tech stack.

Build, maintain, and scale cloud-first microservices using TypeScript/Node.js. Contribute to front-end features with Angular, optimize SQL and NoSQL queries, use CI/CD pipelines, adopt AI-assisted tools, participate in Agile ceremonies, and collaborate with senior engineers to deliver reliable software.

The Senior Software Engineer will lead projects, architect solutions, mentor junior staff, and work full stack on platform development.

The Software Engineer will design, develop, and install software solutions, focusing on web applications using PHP and ensuring coding standards and technical design compliance.

The Senior .NET Software Engineer will drive development of .NET software products, focusing on back-end engineering, code reviews, and collaborating with cross-functional teams.

Design, build, and scale GraphQL and gRPC APIs and SQL queries powering the sportsbook marketplace. Own end-to-end feature delivery, performance diagnostics and remediation, release and deployment windows, monitoring in DataDog, and on-call rotations. Mentor peers, draft technical proposals/specs, and improve platform scalability through load testing, tracing, and production hygiene.

Senior engineer responsible for designing, building, and operating scalable data ingestion, processing, storage, and member-facing membership application. Drive architecture decisions, mentor engineers, build data pipelines, APIs, and ensure reliability, observability, CI/CD, and documentation while partnering with product and analytics stakeholders.

The fellowship offers hands-on experience in software engineering, focusing on data engineering, cloud-native applications, and Agile workflows with mentorship from experienced professionals.

The Software Engineer will work on Automattic's products, focusing on scalable systems, code reviews, and product design, while collaborating globally.

As an Android Software Engineer, you'll design and develop applications, enhance Android components, and improve telemetry solutions for device reliability in rugged tech environments.

The Software Engineer will design and implement reliable services and APIs using Golang and Python, ensuring performance, scalability, and system reliability while collaborating with cross-functional teams.

Design, develop, test, and deploy secure, scalable full-stack applications using Java, .NET, Node.js, React, and cloud-native Azure services. Architect APIs, microservices, serverless functions, enterprise integrations, reusable frontend components, CI/CD pipelines, and infrastructure as code. Mentor engineers, lead code reviews, enforce security and performance standards, collaborate with architects and product owners, and modernize legacy applications through re-platforming and digital transformation initiatives.

Lead complex software projects, mentor engineers, and set technical direction at Vanta while contributing to security and compliance solutions.

As a software engineer, you will enhance customer experiences and build tools for restaurant partners, focusing on payments and analytics.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

Lead backend and full-stack work on the Payments team, building multi-gateway integrations (Stripe, PayPal), payment APIs, and customer payment UIs. Ensure secure, compliant (PCI-DSS) payment flows, reliability, observability, and scalability across AWS/Kubernetes microservices. Partner cross-functionally to design architecture, implement settlement/reconciliation, and maintain high availability.

Build software at Coinbase while responsibly using and integrating generative AI copilots (e.g., LibreChat, Gemini, Glean). Continuously learn evolving tools, apply human-in-the-loop practices, and deliver business-ready outputs that improve efficiency, cost, and quality. Participate in quarterly in-person working sessions as part of a remote-first culture.

Serve as the technical IC leader for the Provider organization: set technical roadmap and engineering standards, design and review architectures, drive cross-team initiatives, mentor engineers, and deliver high-throughput, low-latency, cloud-based microservice systems for provider-focused products.

Architect and refine scalable cloud infrastructure software for enterprise and internet-scale environments. Responsibilities include developing robust software, designing systems supporting 1,000+ nodes, optimizing performance, and collaborating with distributed technical teams in agile environments.

As a Senior Full Stack Software Engineer, you will build and improve products, create user interfaces and APIs, and collaborate with various teams to enhance the customer experience.

As a mid-level Software Engineer, you'll deliver Python-based platform features, collaborate with teams, and maintain system reliability and scalability.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.