Overview
We are looking for a Senior Platform Developer with a strong background in Java backend development and scalable distributed systems, to build and evolve the core platform layer that powers CLEAR AI, our AI-driven applications and next-generation user experiences. You will work at the intersection of backend engineering, AI systems, and front-end technologies, creating reliable, high-performance APIs and data services that enable smooth collaboration between our AI and UI teams. Key Responsibilities: Design and build robust, scalable, and secure platform services using Java (17+), Spring Boot, and microservices architecture. Develop high-performance APIs and data pipelines that seamlessly connect AI models, data services, and user interfaces. Collaborate with AI engineers to integrate model inference endpoints, manage feature stores, and optimize real-time inference flows. Partner with U
Full job description
Full Job Description
We are looking for a Senior Platform Developer with a strong background in Java backend development and scalable distributed systems, to build and evolve the core platform layer that powers CLEAR AI, our AI-driven applications and next-generation user experiences. You will work at the intersection of backend engineering, AI systems, and front-end technologies, creating reliable, high-performance APIs and data services that enable smooth collaboration between our AI and UI teams.
Key Responsibilities:
- Design and build robust, scalable, and secure platform services using Java (17+), Spring Boot, and microservices architecture.
- Develop high-performance APIs and data pipelines that seamlessly connect AI models, data services, and user interfaces.
- Collaborate with AI engineers to integrate model inference endpoints, manage feature stores, and optimize real-time inference flows.
- Partner with UI teams to deliver efficient REST/GraphQL APIs, ensuring smooth user-facing interactions.
- Architect systems that handle large-scale data processing, streaming, and asynchronous workloads using tools like Kafka / SQS.
- Contribute to platform-wide initiatives in observability, fault tolerance, and automation (CI/CD, Kubernetes, AWS).
- Participate in technical design reviews, mentor junior engineers, and uphold clean code and engineering best practices.
- Drive continuous improvements in performance, scalability, and developer productivity.
Required Skills & Experience
- 8–12 years of experience in backend or platform engineering.
- Expert-level skills in Java 11+, Spring Boot, and microservice-based architecture.
- Strong experience with API design and integration, including REST, or GraphQL.
- Hands-on experience in asynchronous and event-driven systems (Kafka, RabbitMQ, or SQS).
- Deep understanding of multithreading, concurrency, and JVM performance tuning.
- Experience working with databases (SQL and NoSQL — e.g., PostgreSQL, MongoDB, Redis).
- Familiarity with containerization (Docker) and cloud-native deployments (Kubernetes, AWS).
- Proven track record in cross-functional collaboration, especially with AI or UI/UX teams.
Good to Have
- Exposure to Open search.
- Experience with streaming or real-time event systems for AI-driven analytics.
- Understanding of frontend-backend communication patterns and API gateway design.
- Knowledge of Reactive programming (Reactor, WebFlux).
- Familiarity with observability stacks (Prometheus, Grafana, ELK, OpenTelemetry).
- Experience building internal developer platforms or SDKs to improve cross-team efficiency.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication, with ability to work across diverse technical teams (AI, UI, DevOps).
- Ownership mindset — proactive in identifying and solving platform challenges.
- Passion for performance, reliability, and scalable engineering solutions.
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