Your mission

Position: Full-time | 40 hours per week

Location: Amsterdam, Netherlands | Work From Home (2–3 days per week in the office)

Salary Range: 80k - 110k annually

About the Job

The DevOps Engineer bridges the gap between development and operations by implementing practices, tools, and automation that enhance the efficiency, reliability, and scalability of our software delivery lifecycle.

The overarching goal is to improve agility, scalability, and stability of our software deployment processes, while fostering a culture of continuous improvement and innovation.

As a DevOps Engineer at ThreatFabric, you play a key role in managing infrastructure, enabling seamless deployments, improving system reliability, and ensuring secure and compliant cloud-native operations in a fast-growing cybersecurity scale-up.

We are currently looking for a senior engineer that has done enterprise scale installations and is aware of common pitfalls in deploying and maintaining multiple deployments.

Responsibilities

Your key responsibilities will include:

Supporting and advising on Continuous Integration / Continuous Deployment (CI/CD) implementations to streamline software delivery.
Implementing and maintainingGitOpspractices to automate infrastructure and application deployments using Git repositories.
Managing andmaintainingexisting infrastructure and cloud infrastructure environments.
Proactivelyidentifyingrequired maintenance and ensuringtimelyexecution to guarantee system stability and reliability.
Designing future-proof, scalable solutions that are easy to use for software development teams.
Closing the gap between customer deployments andThreatFabrictemplates.
Supporting and executing API deployments internally and within customer environments.
Implementing monitoring and logging solutions to proactively detect and resolve issues.
Performing root cause analyses independently and implementing sustainable fixes.
Ensuring unit testing, code coverage, dependency checks, and security scans meet agreed standards and timelines.
Managing infrastructure security by implementing andmaintainingsecurity protocols within DevOps processes.
Supporting AI/ML workloads bymaintainingand managing compute clusters and enabling seamless collaboration between Data Scientists and Developers.
Implementing and adhering to team and product SLAs.
Participating in the on-call pool (24/7) for critical incidents whenrequired.

Responsibilities

Your mission

Position: Full-time | 40 hours per week

Location: Amsterdam, Netherlands | Work From Home (2–3 days per week in the office)

Salary Range: 80k - 110k annually

About the Job

The overarching goal is to improve agility, scalability, and stability of our software deployment processes, while fostering a culture of continuous improvement and innovation.

We are currently looking for a senior engineer that has done enterprise scale installations and is aware of common pitfalls in deploying and maintaining multiple deployments.

Responsibilities

Your key responsibilities will include:

Supporting and advising on Continuous Integration / Continuous Deployment (CI/CD) implementations to streamline software delivery.
Implementing and maintainingGitOpspractices to automate infrastructure and application deployments using Git repositories.
Managing andmaintainingexisting infrastructure and cloud infrastructure environments.
Proactivelyidentifyingrequired maintenance and ensuringtimelyexecution to guarantee system stability and reliability.
Designing future-proof, scalable solutions that are easy to use for software development teams.
Closing the gap between customer deployments andThreatFabrictemplates.
Supporting and executing API deployments internally and within customer environments.
Implementing monitoring and logging solutions to proactively detect and resolve issues.
Performing root cause analyses independently and implementing sustainable fixes.
Ensuring unit testing, code coverage, dependency checks, and security scans meet agreed standards and timelines.
Managing infrastructure security by implementing andmaintainingsecurity protocols within DevOps processes.
Supporting AI/ML workloads bymaintainingand managing compute clusters and enabling seamless collaboration between Data Scientists and Developers.
Implementing and adhering to team and product SLAs.
Participating in the on-call pool (24/7) for critical incidents whenrequired.