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Agileengine is seeking a Senior Full Stack Engineer for a contract-based, USD-paid position with remote work across LATAM (EST time). The role covers the full technology stack and emphasizes production-ready delivery for cinema-related experiences.
The ideal candidate has 5+ years in software engineering, strong skills in React, NodeJS, and .NET, and a solid grasp of cloud, CI/CD, and modern architectures. Prior consumer-facing or mobile app work is a bonus.
Sr. Full-Stack Engineer Engagement Type: Contract - USD Location: Remote - LATAM (EST time) Advanced English skills is required
We’re seeking a Senior Full Stack Engineer ready to play a starring role in shaping the future of cinema experiences. From digital ticketing and mobile engagement to in-theater innovation, your code will help set the stage for unforgettable nights at the movies. If you love the idea of blending creativity, technology, and storytelling, you belong in this production.
You’ll work across our full technology stack as needed. We value engineers who are curious, adaptable, and willing to jump into backend services, web platforms, or infrastructure work when the team needs it.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking ...(continued for each role section following the same structure, converting each heading to
4+ years of experience working as a software engineer. Recent production experience with .NET 8 or 9, C#, ASP.NET Core Web API, Entity Framework Core, and PostgreSQL. Recent production experience with React and TypeScript in component based applications. Strong Azure experience, including production deployment and operational ownership. Proven use of Claude Code or equivalent agentic tools for meaningful end to end feature delivery, not only autocomplete or isolated prompting. Advanced experience in AI Tooling, AI harness development, Agent AI testing and benchmarking, Memory layer integration and MCP development. Ability to translate a product objective into executable agent work, coordinate multiple agents when useful, and verify generated output through builds, tests, runtime checks, and product behavior. Ability to work within a client defined AI Skill and governance model while proposing bounded improvements through the agreed route. Senior product judgment, comfort with changing requirements, and the ability to deliver functional V1 outcomes at a high pace. Experience with multi tenant SaaS, service boundaries, automated testing, delivery pipelines, and production validation. Strong communication, with early escalation of blockers and concise alignment on priorities and tradeoffs. Reliable United States Eastern Time overlap for a full time engagement. Ability to demonstrate the agentic workflow in a live AI coding exercise and explain tool selection, context management, failure handling, verification, and limitations.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position. Chevron participates in E-Verify in certain locations as required by law. (Remaining Chevron details omitted for brevity.)