Catalogic Software provides data protection and backup solutions, helping organizations safeguard and manage their data across various environments.

We are looking for a Platform Engineer to own and improve the build, deployment, observability, security, and operational tooling around our cloud-native data protection and disaster recovery solution for Kubernetes.

The role will include maintaining existing platform services, improving automation, supporting CI/CD pipelines, assisting with Kubernetes-based deployments, and helping ensure that staging and production environments remain observable, secure, and operationally ready.
The ideal candidate is comfortable working in a Kubernetes-based environment, understands how modern CI/CD pipelines support software delivery, can automate operational tasks with scripting, and has practical experience with at least one major cloud provider.

Minimum required experience

The candidate should have hands-on experience with:

• Kubernetes operations, including basic workload management, pod lifecycle, troubleshooting, and logs
• CI/CD systems and pipelines, preferably Jenkins
• Scripting, preferably in Python
• Cloud platforms such as AWS, Azure, or Google Kubernetes Engine

Nice to have

Additional experience in any of the following areas would be beneficial:

• Concourse CI
• Automated test execution through CI/CD pipelines
• Prometheus and Grafana monitoring, alerting, and dashboard maintenance
• Security scanning in build pipelines, including static analysis and container image scanning
• Helm chart development and Kubernetes packaging
• Marketplace integrations such as OpenShift Operator, Rancher Marketplace, CNAB, or similar
• Terraform provider development or maintenance
• Cloud operations dashboards, usage reporting, and operational metrics
• Managing access keys, certificates, rotation schedules, and related security controls
• Handling operational processes such as user data deletion requests
• Python runtime upgrades and dependency management
• MongoDB operations, preferably with Percona Operator and encryption
• Kubernetes self-hosted deployment models
• Log collection and analysis platforms
• Working with staging and production environments
• Creating technical reports based on customer usage and storage consumption data

What we are offering:

• Full time job
• All necessary equipment such as laptop, additional monitor, and accessories
• Individual career path and professional development initiatives
• Continuous performance feedback and end-year performance review
• Remote work and flexible work hours (we're fine with breaks in the middle of the day);
• Set of non-salary benefits (Medicover, MultiSport, life insurance, referral program)