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Ataccama

Unified data management platform with AI

Fullstack Engineer - Java/Typescript

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeBrno, CzechiaNo salary listed

About the Job

Requirements

  • Have solid experience in backend development with Java and be curious or experienced with Kotlin.
  • Be genuinely interested in frontend development with TypeScript and React.
  • Enjoy backend work involving data-intensive engines, complex applications, and platform-like architectures.
  • Be comfortable researching complex algorithms and data structures for efficient engines.
  • Be able to write and understand SQL and work with relational databases.
  • Be excited about building and scaling cloud platform-as-a-service applications; experience with distributed, multi-tenant systems is a plus and curiosity about them is required.
  • Have experience with Docker and Kubernetes or be eager to learn them.
  • Use AI coding tools such as Claude Code or Codex in daily work, or be keen to adopt them.
  • Be curious about large language models, agents, and the Model Context Protocol and how to integrate them safely and reliably into a product.
  • Be interested in customer problems and willing to grow into owning a feature end-to-end, including production operations.
  • Write clean, well-designed, documented, and testable code and care about industry standards and best practices.
  • Be curious, ask questions, welcome feedback, and enjoy learning and sharing knowledge in a collaborative engineering culture.

Responsibilities

  • Develop and maintain a self-service data trust platform that enables business users to validate, govern, and work with data across the full stack.
  • Improve and optimize an established product used by enterprise customers.
  • Design, develop, and maintain scalable backend services in Java and Kotlin with Spring Boot, using microservices, messaging systems, and REST and GraphQL APIs.
  • Build and evolve the React and TypeScript application, making data quality features usable.
  • Collaborate with the product manager and internal stakeholders to turn user and customer problems into pragmatic, technically sound features.
  • Own features end-to-end, from design through unit and integration testing to production deployment and operations, ensuring software is ready to run in cloud environments.
  • Participate in design and architecture discussions and help shape product development.
  • Expose data quality and metadata capabilities to the built-in Ataccama AI Agent and customers' agents through APIs and the Model Context Protocol, and bring AI-assisted experiences into the user interface where useful.
  • Use AI coding agents as part of designing, writing, testing, and reviewing code across the stack, and help improve how the team uses them.

Desired Qualifications

  • Interest or experience in problem solving, complex algorithms, software architecture, databases, cloud operations, application security or identity management, user experience for data-heavy applications, or building large-language-model-powered features.
  • Experience with distributed, multi-tenant systems.
  • Hands-on experience with large language models, agents, and the Model Context Protocol.
  • Terraform experience.

About the Company

Ataccama

Unified data management platform with AI

Ataccama provides a unified data management platform that uses AI and smart automation to transform raw data into reusable data products for teams. The platform handles data classification, data quality, and data governance across any data source, and works in both cloud and on-premise environments. It is designed to be easy to deploy for large enterprises, helping business and technical users manage big data efficiently. Unlike tools that focus on a single aspect of data, Ataccama combines multiple data-management functions into one platform and emphasizes turning data into shareable assets that teams can reuse. Its goal is to help enterprises quickly improve data quality and governance while delivering fast return on investment through its platform and related services (implementation and support).

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$152M
Headquarters
Toronto, Canada
Founded
2007

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