About The Position

Senior Software Engineer – Secure AI Platform (Vancouver, On-Site) The Company: Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects advanced threats with AI-powered automation. Thousands of organizations worldwide trust Varonis to defend their data wherever it lives — across SaaS, IaaS, and hybrid cloud environments. Customers use Varonis to automate a wide range of security outcomes, including data security posture management (DSPM), data classification, data access governance (DAG), data detection and response (DDR), data loss prevention (DLP), and insider risk management. Varonis protects data first, not last. Learn more at www.varonis.com. The Role: We’re looking for a Senior Software Engineer who is deeply hands‑on, highly technical, and exceptional at building production systems end‑to-end to join and engineering team whose mission is to make AI secure for the enterprise. We have a cutting‑edge product and the resources to scale aggressively. This role is for someone who has spent their career writing code, solving hard problems, and making systems work—not just directing others. If you thrive in fast‑paced environments and want to help shape the future of secure AI, this is the place to do it. The Location: We are considering candidates who are able to work by onsite, located within physical proximity to Vancouver, Canada.

Requirements

  • 7+ years of hands‑on software engineering experience.
  • Strong startup background—comfortable moving fast and owning large areas of the stack.
  • Deep, practical experience building and deploying SaaS platforms on AWS.
  • Expert‑level proficiency in Python, including building distributed systems, backend services, and automation tooling.
  • Strong DevOps experience in AWS using Terraform, CloudFormation, and related tools.
  • Solid networking and security fundamentals, including experience with API gateways and firewalls.
  • Proven ability to architect systems, make sound technical decisions, and implement best practices.
  • Ability to deliver durable, high‑quality solutions quickly under aggressive timelines.
  • Fast learner who can pick up new technologies, codebases, and architectures independently—and then teach others.
  • Experience building enterprise‑grade systems, ideally in information security.
  • A truly hands‑on mindset: you’ve built systems yourself, end‑to‑end, throughout your career.

Responsibilities

  • Architect, build, and maintain a robust SaaS platform on AWS using ECS, RDS, VPCs, Redis, and related services.
  • Write high‑quality, production‑grade Python code across backend services, infrastructure tooling, automation, and prototypes.
  • Troubleshoot and resolve complex issues spanning AWS services, backend code, networking, firewalls, VPNs, and certificates.
  • Design and implement solutions informed by modern security architectures such as firewalls and API gateways.
  • Own the DevOps function, including infrastructure automation, CI/CD, and operational excellence.
  • Make critical technology decisions that ensure reliability, scalability, security, and maintainability.
  • Build POCs, prototypes, and system skeletons that accelerate development across the team.
  • Mentor teammates by demonstrating how to diagnose issues, build systems, and deliver high‑quality solutions.
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