Senior DevOps Engineer building and managing big data platforms for clients in telecommunications and finance industries. Ensuring stability, scalability, and performance across cloud and on-premise environments.
Responsibilities
Design, deploy, and maintain infrastructure for big data platforms, including Cloudera on-prem solutions and cloud-based environments on AWS or Azure.
Implement, manage, and optimize monitoring solutions using Zabbix and Prometheus to ensure the performance, availability, and reliability of data platforms.
Troubleshoot and resolve platform-related issues, focusing on system performance, reliability, and scalability of large data sets.
Use Terraform and Ansible for infrastructure automation, configuration management, and to ensure repeatable, scalable deployments.
Implement and maintain CI/CD pipelines for seamless deployments and continuous integration (including static code analysis) for both infrastructure and applications.
Deploy and manage Kubernetes clusters for orchestrating Big Data workloads and ensuring efficient resource utilization.
Collaborate with network teams to ensure seamless communication between data services, optimize data traffic, and enhance security practices.
Proactively identify and resolve performance bottlenecks within Big Data platforms, including resource management, cluster tuning, and workload optimization.
Requirements
5+ years of hands-on experience in DevOps or SRE roles, with a focus on big data platforms and distributed computing environments.
Proficiency in monitoring systems using Zabbix or Prometheus for tracking and alerting system metrics.
Strong knowledge of Linux (RHEL) systems, including scripting, system administration, and troubleshooting.
Hands-on experience with cloud environments, particularly AWS or Azure, including the deployment of cloud-native services and infrastructure.
Expertise in deploying, managing, and scaling applications using Kubernetes.
Proficiency in using Terraform and Ansible for infrastructure automation and configuration management.
Experience with CI/CD pipelines and tools such as ArgoCD, GitLab CI, or similar.
Strong understanding of networking concepts including security, VPNs, and performance tuning in hybrid environments.
Strong analytical skills with experience in identifying and solving complex platform issues, particularly performance bottlenecks.
Knowledge of best practices and tools for optimizing system and application performance in large-scale distributed environments.
Benefits
Participation in the company’s stock options program.
Flexible Benefits & Personal learning budget.
10 Growth Days per year - dedicated time for learning and development.
Ownership and dynamics in your role.
All the support you need from our experienced team to become an even better professional.
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