Support Engineer for CloudCasa (L23)

Support Engineer for CloudCasa (L2/3)

We are looking for an L2/3 Support Engineer to support CloudCasa our Kubernetes backup recovery disaster recovery and migration platform.

This role is for someone who can go beyond basic ticket handling. The candidate should be able to troubleshoot Kubernetes environments analyze backup and restore issues work with customers and internal engineering teams and help resolve complex technical problems across cloud-native and hybrid environments.

The engineer will support CloudCasa customers using SaaS and self-hosted deployments including environments running on public cloud private cloud and enterprise Kubernetes platforms.

 

Responsibilities

The role will include:

• Handling L2 and L3 customer support cases for CloudCasa
• Troubleshooting backup restore migration and DR issues in Kubernetes environments
• Investigating failures related to agents jobs storage targets cloud integrations and Kubernetes resources
• Reviewing logs from CloudCasa components Kubernetes clusters and customer environments
• Reproducing customer issues in staging or lab environments
• Escalating verified product defects to engineering with clear technical evidence
• Assisting customers with SaaS and self-hosted CloudCasa deployments
• Supporting integrations with EKS AKS GKE OpenShift Rancher Tanzu and other Kubernetes platforms
• Helping customers follow best practices for reliable backup and recovery
• Maintaining internal troubleshooting documentation and external knowledge base articles

Candidate profile

The ideal candidate is a practical Kubernetes troubleshooter with solid cloud experience and strong support discipline. They should be comfortable working directly with customers reading technical logs isolating product versus environment issues and translating complex technical findings into clear next steps.

This is not a first-line helpdesk role. It requires someone who can independently investigate technical issues work across Kubernetes cloud storage and backup domains and collaborate with engineering when deeper product analysis is required.

Qualifications :

Minimum required experience

The candidate should have hands-on experience with:

• Kubernetes operations including pods namespaces PVCs storage classes events logs and basic troubleshooting
• Cloud platforms such as AWS Azure or Google Cloud especially managed Kubernetes services such as EKS AKS or GKE
• Linux system administration and command-line troubleshooting
• CI/CD or DevOps environments including Jenkins or similar pipeline tools
• Scripting preferably Python or shell scripting
• Customer-facing technical support preferably at L2 or L3 level
• Reading logs identifying failure patterns and documenting root cause analysis
• Clear written communication for ticket updates escalation notes and customer-facing explanations

Nice to have

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

• Backup restore disaster recovery or data protection products
• CloudCasa Velero Kasten or similar Kubernetes backup tools
• Kubernetes persistent storage including CSI snapshots PVC backup and storage class mapping
• Helm charts and Kubernetes application deployment
• Rancher OpenShift VMware Tanzu Harvester or other enterprise Kubernetes distributions
• Object storage such as AWS S3 Azure Blob MinIO Wasabi or other S3-compatible storage
• MongoDB PostgreSQL or other stateful application backup and recovery scenarios
• Prometheus Grafana Loki ELK or similar monitoring and log analysis tools
• Self-hosted or air-gapped software deployments
• RBAC SSO certificates access keys and basic security troubleshooting
• Working with engineering teams to reproduce bugs and validate fixes
• Creating knowledge base articles runbooks and troubleshooting guides

Additional Information :

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 (were fine with breaks in the middle of the day);
• Set of non-salary benefits (Medicover MultiSport life insurance referral program)

Remote Work :

Yes

Employment Type :

Full-time