Software Escalation Engineer (Python)

Varonis (Nasdaq: VRNS) secures AI and the data that powers it. The Varonis platform gives organizations automated visibility and control over their critical data wherever it lives and ensures safe and trustworthy AI from code to runtime. Backed by 24x7x365 managed detection and response, Varonis gives thousands of organizations worldwide the confidence to adopt AI, reduce data exposure, and stop AI-powered threats.

The Responsibilities:

• Act as the technical point of contact for customer‑impacting issues.
• Investigate and resolve issues in Python services.
• Analyze behavior across services, databases, messaging, and infrastructure.
• Perform testing on UI and performance.
• Drive root cause analysis in collaboration with engineering and infrastructure teams.
• Provide training and technical guidance to internal teams.

The Requirements:

• B.Sc. in Computer Science or equivalent from known university.
• Minimum of 3 years of experience in developing Enterprise-level Python Applications.
• Experience working with cloud-native architectures and distributed systems.
• Experience working with AWS, Azure, or GCP, Docker, Kubernetes, and microservices – Advantage.
• Knowledge of IT Fundamentals (Networking / Security / Storage).
• Strong understanding of REST API, scalability, and security concepts (OAuth2, JWT, API Gateways).
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).
• Familiarity with asynchronous processing and messaging systems (RabbitMQ, Kafka) – Advantage.
• Knowledge of multi-tenant SaaS architectures – Advantage.
• Familiarity with infrastructure as code and monitoring/observability tools.
• Hands-on experience with AI projects and applications.
• Fluent English (written and verbal).
• Advantageous, not required:
  • Familiarity with additional languages (PHP, Angular/JS, Swift/Objective‑C, Kotlin/Java).
  • Previous customer-facing technical positions.
  • Provide training and support to internal teams.
  • Familiarity with Datadog.