Senior DevOps Engineer

What's Guardio?

Guardio is a B2C cybersecurity startup offering security and privacy solutions directly to consumers - regular people, not corporate companies. We develop products you’d want for yourself, your parents, family, and friends. Our goal is to protect real people from cyber problems and crime. We try and avoid buzzwords, but sometimes those keywords are necessary: we help our customers avoid and combat the modern world’s security threats, like phishing, financial scams, malware, browser hijacking, identity theft, data leaks, and a whole lot more.

Guardio is a relatively small company (we just passed 80 people) on a rapid growth path, and we’re looking for core team members to join our team. We already have well over a million registered customers and plenty of new products and features in the pipeline.

So, what's the job?

We are looking for a Senior DevOps Engineer to join our R&D team. In this role, you will be responsible for managing and improving our infrastructure, integrating software development processes, and ensuring the stability and scalability of our systems. You will be involved in continuous integration practices, bringing innovative ideas and new tools to implement.

You will:

• Play a crucial role within our DevOps team.
• Design, implement and monitor large-scale cloud architectures in production environments.
• Collaborate with your peers to define architecture, quality standards, and best practices for all infrastructure needs.
• Work on Guardio’s main infrastructure affecting our entire user base.
• Improve company-wide developer experience by introducing new tools and capabilities that shorten “time-to-production”.
  
  

• 4+ years working as a DevOps Engineer.
• Proven experience with public cloud providers, preferably GCP.
• Experience managing observability tools such as Datadog, Prometheus, Grafana, etc in a micro-service architecture.
• Strong scripting skills (e.g., Bash, Python) for automation tasks.
• Deep understanding of containerization technologies (Docker, Kubernetes).
• Strong proficiency in infrastructure as code using Terraform.
• Experience in setting up complex CI/CD pipelines and development environments.
• Knowledge of large-scale messaging solutions (Pub/Sub, Kafka, etc.).
  
  

• Python
• GKE + Heavy GCP usage
• Argo CD + Terraform
• MySQL + Redis + BigQuery
• Thinking of a great addition? Let's do it.