Build the systems that power builders.
Are you a backend engineer who enjoys building reliable, scalable systems At Maya, our Platform Engineering team creates the internal platforms that help engineers build and deliver products faster.
We're looking for a Staff Software Engineer to design core services, shape system architecture, and lead through hands-on engineering. You'll focus on performance, resilience, and long-term scalability while improving how teams build and operate software.
What You'll Be Doing:
As a key technical leader in our Platform Engineering team, you will:
- Build Internal MicroSaaS Platforms. Architect, develop, and maintain high‑reliability developer platforms using Java and Python.
- Integrate AI Where It Matters Most. Identify smart opportunities to embed AI—automated code reviews, predictive scaling, intelligent documentation, and more—to transform platform velocity.
- Partner With Internal Engineering Stakeholders. Treat engineering teams as your customers. Understand their needs and deliver platforms that elevate their productivity end‑to‑end.
- Design Scalable AWS Infrastructure. Ensure our internal systems remain secure, resilient, and future‑ready.
- Experiment With Emerging Tech. Prototype new tools, frameworks, and models—deciding what makes it to production and what stays in the lab.
- Lead & Mentor. Guide engineers in backend excellence, architectural thinking, and modern AI implementation.
Who We're Looking For
- Backend Expert (Java & Python at your core). You prioritize stability, scalability, and sound systems architecture.
- AWS Pro. You can design and operate distributed systems with confidence.
- Systems Thinker. You design modular platforms that can evolve without rewrites.
- Tech Leader & Mentor. You uplift the team while delivering hands‑on, high‑quality work.
- Continuous Learner. You thrive in a fast‑moving tech landscape and aren't afraid to dive into new models or frameworks.
Our Tech Stack
- Java 17+
- Spring Boot 3
- JUnit 5, Mockito, Wiremock
- Docker, Kubernetes, TestContainers
- GitLab CI/CD, Port, Split, Gradle
- AWS (various services)
Nice to Have:
Practical AI Integration Experience
Familiarity with AI/ML tools and frameworks—and, more importantly, strong judgement on when (and when not) to use them.
