Binagora

Backend Engineer

• Framework Architecture: Implement a robust, scalable SPI framework in Java for loading and managing AI models, leveraging Java's built-in java.util.ServiceLoader.
• Core Implementation: Write high-quality, well-tested Java code for the framework's core components, including service interfaces, provider registration, and lifecycle management.
• Self Direction and Communication: Own the responsibility for a workstream, collaborating iteratively with other team members including engineers, product owners, project managers to ensure that capabilities are filling needs of other workstreams.
• RESTful Service Development: Design, build, and maintain clean, scalable RESTful APIs using Spring Boot to expose and manage the framework capabilities, among other services.
• API Documentation & Security: Ensure APIs are well-documented using tools like OpenAPI/Swagger and implement security best practices for service-to-service communication.
• Documentation: Author and maintain comprehensive documentation for both the core SPI framework and the public-facing Spring Boot API. Proactively educate the rest of the team on usage of both.
• Testing and Quality: Establish a rigorous testing strategy, including unit, integration, and performance tests for both the core framework and the API endpoints.

Senior Java Developer

Infrastructure Engineer

• Design and Implement Scalable Data Infrastructure: Lead the design, development, and maintenance of robust and reliable infrastructure supporting next-generation data pipelines.
• Build & Automate Data Pipelines: Engineer and optimize critical data pipelines using cutting-edge technologies such as Fivetran, Snowflake, Apache Kafka, and Apache Flink.
• Infrastructure as Code (IaC): Drive the adoption and implementation of Infrastructure as Code principles, primarily utilizing Terraform, to provision and manage cloud resources (AWS/Azure).
• Cloud Platform Management: Manage and optimize cloud-based data platforms and services on AWS or Azure, ensuring high availability, performance, and cost efficiency.
• Containerization & Orchestration: Implement and maintain containerized solutions using Docker and Kubernetes for data-intensive applications and services.
• Cross-Functional Collaboration: Serve as a crucial bridge between application development teams, data engineering teams, and operations, ensuring seamless deployment and operation of data systems.
• Operational Support & Reliability: Provide expert support for data infrastructure, assisting customer support with escalated issues and working to improve system reliability, monitoring, and alerting.
• Performance Optimization: Continuously identify and implement improvements for data pipeline performance, scalability, and efficiency.

Senior Java Developer

Senior Data Infrastructure Engineer