Senior Devops Engineer

Accelerate Your Career in Cybersecurity

As a leader in Automated Security Validation, we help businesses around the world safely emulate real-world attacks to uncover their vulnerabilities. At Pentera, you will be at the forefront of cybersecurity innovation, working on advanced tools that challenge organizations' defenses and push the limits of security testing.

With over 400 team members and 1,100+ customers in more than 50 countries, Pentera is a growing company supported by top investors like Insight Partners, K1, and The Blackstone Group.

If you are looking to grow your skills, make a difference, and be part of an innovative team, Pentera is the place for you.

About the Role:

We are looking for a Senior DevOps Engineer to join our team. This is a hands-on role focused on designing, building, and maintaining scalable infrastructure and deployment pipelines. You will collaborate closely with development, product, and research teams to deliver robust, secure, and high-performing systems that support our SaaS and on-premise solutions.

Roles & Responsibilities:

• Take full ownership of DevOps initiatives, driving them from concept to execution across teams.
• Develop and maintain CI/CD pipelines to ensure efficient and reliable software delivery.
• Collaborate with developers to optimize build and deployment processes.
• Manage and enhance cloud infrastructure on AWS & Azure using infrastructure-as-code tools like Terraform.
• Implement and maintain monitoring, logging, and alerting systems to ensure system reliability and performance.
• Write and review Python code to support infrastructure automation and tooling.
  
  

• 6+ years of hands-on experience as a DevOps engineer in cloud-native environments.
• Strong experience with AWS and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Proficiency in Python for developing infrastructure automation and tooling.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, ArgoCD).
• Experience with containerization and orchestration tools (e.g., Kubernetes, Docker).
• Experience with monitoring and logging tools (e.g., DataDog, Prometheus, Grafana, ELK stack).