Deployment Engineer at WRITER architecting AI solutions for enterprise customers. Collaborating with cross - functional teams to deliver impactful technologies and drive business outcomes.
About the role
- Site Reliability / DevOps Engineer developing Big Data platforms for clients in Telco and Retail industries. Focus on stability, scalability, and performance of large-scale data processing systems.
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 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
- 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
- 2+ years of hands-on experience in DevOps or SRE roles
- Proficiency in monitoring systems using Zabbix or Prometheus for tracking and alerting system metrics
- 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
- Experience with Terraform and Ansible for infrastructure automation and configuration management
- Experience with CI/CD pipelines and tools such as Argo CD, Flux CD, or similar
- Understanding of networking concepts, including security, VPNs, and performance tuning in hybrid environments
- 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 from day 1
- 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
- Hybrid work environment with preferably at least 1 day per week in the office
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