Senior Software Engineer

1 day ago

Remote Kielce Kraków Wrocław, Czech Republic beBeeCloudNative Full time €90,000 - €123,000
Job Overview

We are looking for a seasoned software professional to spearhead the development of large-scale data pipelines and systems.

The ideal candidate will possess strong problem-solving abilities and have experience in developing innovative solutions using cloud-native technologies.

This is an excellent opportunity for a motivated individual to take on a leadership role in an R&D setting, driving innovation and collaboration within a small engineering team.

Requirements
  • Extensive experience in DevOps Engineering with a proven track record of delivering scalable and efficient data platform solutions.
  • Familiarity with streaming and data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, and Presto.
  • Experience in building enterprise-grade software in cloud-native environments (GCP or AWS) using cloud services.
  • Strong system architecture and design skills.
  • Ability to design and implement CI/CD pipelines using tools like Jenkins and Github Actions.
  • Experience with Kubernetes using GKE/EKS.
  • Nice to have: Experience with SQL and Graph and Vector databases or processing frameworks.
  • Excellent communication and problem-solving skills.
  • English language proficiency at B2+ level.
Tech Stack

Java, Beam, Spark, Kafka, Airflow, Presto, AWS (Dataflow, Dataproc/EMR, Cloud Function/Lambda, BigQuery, BigTable), Python.

Project Scope

The successful candidate will lead a small engineering team in designing, implementing, and deploying elements of a Data Platform. They will drive innovation, swiftly test and validate new concepts, and integrate them ensuring team collaboration.

Key responsibilities include leveraging cloud computing architectures to support development needs, tracking and identifying relevant new technologies in the market, and pushing their implementation into our pipelines through research and prototyping.

The candidate will also develop processes and tools to monitor, analyze, maintain, and improve data operation, performance, and usability.

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