CourtAvenue - Senior Full-Stack Software Engineer (Theme Park Focused)

• The Gigantic Playground team specializes in envisioning and implementing innovative ways for end-users to interact with technology, often in ways that don't look like traditional technology at all. We own the full architecture: ideation, system design, development, and installation, in partnership with our clients. • Experience in systems architecture and design - can architect new systems from scratch and reason about trade-offs at the system level. • AI-native, well beyond vibe coding! • Can be the rubber duck for teammates. Docs, diagrams, walkthroughs - you make the team smarter around you. • Strong full-stack chops: Web UX/UI, REST APIs, backend, DB modeling, CI/CD, and deployment automation. • Client-facing experience and strong presentation and communication skills. • Solid at requirements gathering and technical / non-technical documentation. • Comfortable with ALM tools (Jira, ClickUp, Git, etc.) and agile principles, including scrum and backlog management. • Self-driven, dynamic, and an exceptional problem-solver. • Able to extract lessons from both wins and losses while keeping a positive attitude about it. • Strong awareness of web performance - on-page and external (CDN, caching, etc.). • Experience with automated testing for both backend and frontend. • Bachelor's degree in computer science, systems management, or another engineering discipline - or equivalent field experience. • Full-stack development experience (REST APIs, backend, DB modeling, CI/CD, Web UX/UI, HTML/CSS, mobile responsive). • Ability to design and develop highly reliable, fault-tolerant systems, and to lean on AI tools to produce high-quality production-ready code. • Proficiency in Linux/MacOS command-line tools and Bash shell scripting (Linux Server or MacOS power-user level). • Proficiency in automated testing and unit testing. • Knowledge of infrastructure as code. • 5+ years of industry experience required; 7+ years preferred • Other Required Technologies (≈80% coverage) • You don't need to be world-class at all of these, but you should hit roughly 80% of this list with real depth. • GitHub is required - you must have an OSS repo that demonstrates your skills! • IDE with an agent, and a debugger with and without an agent. You should be fluent in both modes. • Node.js with TypeScript, including deep async/await fluency. • Linux server power user. • Infrastructure as Code - Terraform, Ansible, etc. • Cloud - AWS, Azure, GCP. Specifically: load balancers, VMs, security, cloud storage, cost estimation, cloud networking topologies, and cloud auto-scaling. • Logging and observability, including event pipelines (EventHub, Firehose, etc.). • Web frontend: React (and associated tooling like Webpack). • Docker - building Dockerfiles with complex setups and multi-phase builds. • Docker Swarm - and you must hide your secrets! • RabbitMQ & Message Patterns • NoSQL DBs - Postgres, MongoDB, DocumentDB experience. • OpenAPI / Swagger. • Secure code - understanding of WEB & API attack vectors. • Distributed processing - concurrency, race conditions, parallel processing. • Caching services - programming for CDNs, ETAGs, etc. • Test frameworks - Chai, Mocha, or similar. • Multi-lingual - English / Spanish / Japanese. (Japanese fluency is a huge edge!) • Mobile / Desktop: Flutter (and other mobile tech - React Native, Swift, Kotlin). • CMS dev and integration experience - Contentstack, especially. • Load testing - k6 or similar, plus architecting for load. • Redis cache or similar. • Advanced DevOps, cloud CI/CD, Ansible, and extensive container deployments at scale. • Background in test-driven design. • Work Environment • Gigantic Playground is a remote-first agency environment with team members located across the US. • Candidates in San Diego, California will have the advantage of being close in proximity to several of our core team members. • Candidates located in Orlando, FL, Chicago, IL, New York, NY or Seattle, WA will also be considered. • $115,000 - $145,000 a year • Final compensation will be determined based on total related experience as well as geography.