SaaS Senior Python Engineer - GenAI services

Your challenge

• Enhance our existing SaaS architecture, emphasizing a robust, scalable, and multi-tenant service infrastructure to accommodate new generative AI services.
• Technically lead cross-functional team to pioneer new features and functionalities, promoting innovation and setting technical standards for excellence within the team.
• Design and implement scalable services for data management across various cloud ecosystems and data sources, focusing on integration with Ataccama ONE platform and various LLM models.
• Develop clean, well-documented, and testable code that adheres to industry best practices and ensures quality and speed.
• Collaborate closely with AI engineers to integrate generative AI features into our platform, enhancing user capabilities and experiences.

The Tech We Expect

• Advanced proficiency in modern Python.
• Strong experience with cloud platforms like AWS and/or Azure, including familiarity with their common managed services (e.g., Aurora Serverless, managed AKS, EKS).
• In-depth knowledge of Kubernetes, including Helm charts and container management.
• Extensive understanding of relation database systems and familiarity with message queues
• Experience with CI/CD tools, especially GitLab, to streamline and automate the deployment and management of our applications across various stages of the development lifecycle.
• An interest in AI and large language models will be considered an advantage.

Is this you?

• 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.

Our General Tech Stack

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