Senior Software Engineer (Metadata Extraction)

Your challenge:

• Your primary challenge will be to develop a self-service, cloud-based enterprise application for metadata extraction from various types of data sources and technologies
• Design, develop, and maintain back-end systems using Java and Kotlin, with a strong focus on Spring Boot applications.
• Integrate and manage RESTful services, ensuring robust and scalable API development.
• Work with graph databases, leveraging their capabilities to solve complex data-related challenges.
• Handle asynchronous processing and manage message brokers such as RabbitMQ.
• Implement unit testing and integration testing strategies to ensure high-quality software delivery.
• Collaborate with product managers to understand product requirements and translate them into technical specifications. Take ownership of features and components from the design phase through to production deployment and operational support.
• Engage in code reviews, offering constructive feedback in a supportive and collaborative manner to help peers improve and grow.
• Work collaboratively within a cross-functional team, fostering open communication and ensuring alignment with all stakeholders to achieve shared goals.
• Introduce and assess creative concepts, balancing innovation with actionable outcomes to advance product and team success.

Is this you?

• You have proven experience in backend development with Java or Kotlin.
• You thrive on tackling complex applications and willingly dive into research when intricate algorithms and data structures are required for efficient solutions.
• You have a passion for building secure Cloud SaaS applications.
• Learning and sharing knowledge with others is something you genuinely enjoy.
• You are unafraid to take ownership of end-to-end software engineering and operations competency.
• It would be a huge advantage if you have experience with the Data Lineage domain or SQL parsing using ANTLR
• Another nice-to-have is experience with writing complex SQL queries and procedures for Oracle and PostgreSQL.

The Tech We Expect

• Our backend primarily employs the latest versions of Java and Spring Boot, with a warm welcome to Kotlin expertise.
• Our products are operated in AWS and Azure, so familiarity with these ecosystems and common managed services (e.g., Aurora Serverless, managed AKS, EKS..) is beneficial.
• We orchestrate our services using Kubernetes, and your comfort with Kubernetes environments, Helm charts, and related technologies is welcome.
• Your experience developing fully multi-tenant and distributed systems, as well as working with message queue services like RabbitMQ or Kafka, will be invaluable.

Our General Tech Stack:

• Backend: Java, Spring Boot, Kotlin, GraphQL, jOOQ
• Storage: Aurora, Postgres, Elastic, Minio
• Infrastructure: GitLab CI/CD, Gradle, Kubernetes, AWS, Azure
• Frontend: TypeScript, React, Apollo, Nx, MobX..
• Big Data: Spark, Redshift, Snowflake