Varonis

Escalation Software Engineer- Python

Varonis
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24 days ago
Poland (city not specified)Mid Level

Responsibilities

  • Investigate and resolve complex technical issues across the product suite.
  • Write Python code and implement fixes and patches for customer environments.
  • Analyze application logs, database performance, and system behavior to identify root causes.
  • Serve as the final technical escalation point for resolved customer issues.
  • Collaborate with development teams to identify product improvements based on real-world issues.
  • Create documentation and diagnostic tools for support teams.
  • Communicate technical findings to technical and non-technical stakeholders.

Requirements

  • B.Sc. in Computer Science or equivalent from a recognized university.
  • At least 3 years of professional Python development experience.
  • Strong SQL skills, including complex queries, database performance optimization, and data investigation.
  • Demonstrated ability to debug complex, multi-layered technical problems.
  • Ability to work independently and resolve problems with minimal supervision.
  • Strong written and verbal English communication skills.
  • Comfort transitioning between different types of technical problems.

Tech Stack

Categories

Varonis

About Varonis

1,001-5,000 employees

Varonis unifies AI-native data security, AI security and governance, and behavior-based threat detection.   Core offerings include the Varonis Data Security Platform for AI-native data security, Varonis Atlas for safe and trustworthy AI, Varonis Next-Gen DAM for database security, and Varonis Interceptor for preventing AI-powered social engineering threats.   Backed by 24×7×365 expert-led detection and response, Varonis enables organizations to confidently adopt AI, reduce data exposure, and simplify security operations in an evolving threat landscape.   Trusted by thousands of leading global enterprises, Varonis is the partner security teams rely on to automatically and effortlessly protect their most critical data and safely accelerate AI innovation.

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