Catalogic Software

• 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

Role Description 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 - 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 Qualifications - Hands-on experience with Kubernetes operations, including pods, namespaces, PVCs, storage classes, events, logs, and basic troubleshooting - Experience with 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 backup, restore, disaster recovery, or data protection products - Familiarity with CloudCasa, Velero, Kasten, or similar Kubernetes backup tools - Experience with Kubernetes persistent storage, including CSI snapshots, PVC backup, and storage class mapping - Knowledge of Helm charts and Kubernetes application deployment - Experience with Rancher, OpenShift, VMware Tanzu, Harvester, or other enterprise Kubernetes distributions - Familiarity with object storage such as AWS S3, Azure Blob, MinIO, Wasabi, or other S3-compatible storage - Experience with MongoDB, PostgreSQL, or other stateful application backup and recovery scenarios - Knowledge of Prometheus, Grafana, Loki, ELK, or similar monitoring and log analysis tools - Experience with self-hosted or air-gapped software deployments - Understanding of RBAC, SSO, certificates, access keys, and basic security troubleshooting - Experience working with engineering teams to reproduce bugs and validate fixes - Ability to create knowledge base articles, runbooks, and troubleshooting guides Benefits - 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)

Role Description 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. - Maintain existing platform services - Improve automation - Support CI/CD pipelines - Assist with Kubernetes-based deployments - Ensure that staging and production environments remain observable, secure, and operationally ready Qualifications - Hands-on experience with Kubernetes operations, including basic workload management, pod lifecycle, troubleshooting, and logs - Experience with CI/CD systems and pipelines, preferably Jenkins - Scripting experience, preferably in Python - Experience with cloud platforms such as AWS, Azure, or Google Kubernetes Engine - 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 Benefits - 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)