Procure Ai

Software Engineer (Data & DevOps) m/f/d

Procure Ai WorkFromHome

Stellenbeschreibung:

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About The Company

Our mission is to enable companies to run the world’s most intelligent procurement – human and artificial.

More than 50% of today’s procurement tasks will be automated in the next 5 years, but companies face massive data gaps, hindering their path to automation.

Our Augmented Procurement Platform combines augmented guided buying and autonomous procurement operations enabling enterprise procurement to reach new heights.

About The Role

We are Procure Ai, a market leader in bringing artificial intelligence and automation to the procurement process with the goal to unlock massive savings for our clients by having a high-value procurement function. We are a remote team of experienced tech and business professionals, based in Germany, UK and France. While we enjoy collaborating remotely, we come together for regular team offsites in Europe. We are now recruiting for an experienced Software Engineer (Data & DevOps) (m/f/d) with a strong data and DevOps focus for further growth.

You will join a team of experienced senior engineers who are committed to creating intelligent software & developing code that helps make procurement more efficient. You will work on developing features for our existing software platform, for new products, and creating code that integrates with third-party platforms. Our tech stack includes (but is not limited to) Python, Go, Typescript, Spark, Kafka, Docker, Kubernetes, AWS/Azure, React, Node.js.

Please note: since this is an individual contributor role, it is important you are aware of & comfortable with this setting in a remote work environment.

Impact & Ownership

  • Develop key components of our intelligent data platform for procurement in close collaboration with the team.
  • Build scalable, serverless data ingestion pipelines from structured and unstructured data.
  • Combine data engineering with backend development to transform ingested data into our procurement data graph.
  • Shape the core of our solution and work closely with our customers.

Requirements

  • You have a degree in Computer Science, Mathematics, Computer Engineering or a related field.
  • Proven experience in data engineering (at least 3 years).
  • You are advanced in at least one of the following programming languages: Python, Go, JavaScript, Typescript.
  • You are proficient in Terraform or AWS CloudFormation.
  • You have experience in building automated data ETL/ELT pipelines (e.g., Apache Airflow, Apache Spark, Databricks), quality assessment, and data streams (e.g., AWS Kinesis).
  • You worked with Kafka, K8s, Postgres.
  • You are experienced with different database and data warehouse concepts and have a good understanding of data modeling approaches.
  • You are a friendly, team-oriented problem solver and self-starter who enjoys working in a role with lots of impact.

Extra Credits

  • Experience with graph databases or graph implementations in NoSQL setups.
  • Experience assessing data quality with ML-based algorithms.
  • Hands-on experience with cloud development on AWS.

Benefits Of This Role Include

  • A remote work environment where you can decide to work anywhere in UTC time zone plus 3 hours, allowing maximum flexibility.
  • Join regular team offsites within Europe.
  • 30 days of vacation.
  • Up to 2 months work from anywhere (timezone-friendly though).
  • Salary package: Depending on your experience, a competitive offer including ESOPs.
  • Budget for work-related activities and tools.

How We Hire

  • Recruiter Introductory Call – 30-45 minutes
  • Tech Interview – 1 to 1.5 hours
  • Onsite Tech Interview – 1 day
  • Co-Founder Interviews with Yves and Konstantin - 1h each
  • Final Decision

Procure Ai is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    29 Nov 2025
  • Standort:

    WorkFromHome

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