Senior Python Software Engineer

BloomreachBloomreach·Remote(Slovakia)
Software Development

WFA Digital Insight

In 2023, the demand for skilled Python developers remains high, particularly in the realm of data analytics and backend systems. As Bloomreach continues to innovate in AI-driven personalization, this role offers engineers a chance to work at the forefront of technology. Skills in cloud services and distributed systems are increasingly sought after, making this position appealing not just for the immediate salary, but for long-term career advancement. Candidates should be prepared to showcase their problem-solving abilities and backend development experience in their applications.

Job Description

About the Role

As a Senior Python Software Engineer at Bloomreach, you will take ownership of complex backend systems crucial to our analytics platform. This role involves working with large volumes of customer data and developing Python backend services that power data exports.

Responsibilities

  • Design, develop, maintain, and test backend services and modules using Python.
  • Own and evolve multicloud export pipelines integrating AWS S3, Google Cloud Storage, Azure Blob Storage, and SFTP.
  • Focus on system resilience, observability, and performance in your engineering practices.

Requirements

  • Strong experience in Python programming and backend development.
  • Solid understanding of distributed systems and cloud services.
  • Proven expertise in handling analytics and large datasets.

Nice to Have

  • Familiarity with multiple cloud platforms.
  • Experience with data export and integration processes.

Benefits

  • Flexible remote work within the Central European Time Zone (CET).
  • Opportunities to collaborate with high-profile global brands.

How to Stand Out

  • Highlight your Python backend development experience in your resume.
  • Familiarize yourself with multicloud export processes, as they are essential to the role.
  • Prepare to discuss real-world scenarios where you've improved system performance or reliability.
  • Showcase any relevant projects on your portfolio, especially those involving data analytics.
  • Consider discussing your problem-solving techniques during interviews to make a strong impression.

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