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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-timePrague, CzechiaNo salary listed

About the Job

Requirements

  • Have solid backend development experience with Java and curiosity or experience with Kotlin.
  • Be interested in frontend development with TypeScript and React, and be willing to own the user-facing application as well as APIs.
  • Enjoy backend work involving data-intensive engines, complex applications, and platform-like architectures.
  • Be willing to research complex algorithms and data structures for efficient engines.
  • Be able to write and understand SQL and work comfortably with relational databases.
  • Be interested in building and scaling cloud PaaS applications; distributed, multi-tenant systems experience is a plus.
  • Have experience with Docker and Kubernetes, or be eager to learn them.
  • Use AI coding tools such as Claude Code or Codex, or be keen to adopt them.
  • Be interested in LLMs, agents, and MCP and their safe, reliable integration into a product; hands-on experience is a plus, not required.
  • Be interested in customer problems and in taking ownership of features through production operation.
  • Write clean, well-designed, documented, and testable code, following industry standards and best practices.
  • Be curious, open to feedback, and interested in learning and sharing knowledge.

Responsibilities

  • Develop and maintain a self-service data trust platform that lets business users validate, govern, and work with data without needing SQL or assistance from technical colleagues, across backend engines and the user interface.
  • Improve and optimize the established product and its existing solutions for 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 so data-quality features are powerful and easy to use.
  • Collaborate with the product manager and stakeholders from other teams 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, delivering software ready to run in cloud environments.
  • Participate in design and architecture discussions and help shape how the product is developed.
  • Expose data-quality and metadata capabilities to the built-in Ataccama AI Agent and customers’ agents through APIs and MCP, and add AI-assisted user-interface experiences where useful.
  • Use AI coding agents throughout design, coding, testing, and code review, and help improve how the team works with 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 LLM-powered features.
  • Experience with distributed, multi-tenant systems.
  • Hands-on experience integrating LLMs, agents, or MCP into products.
  • 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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