Sr. Engineer/Assistant Manager - Linux/Kafka

Position: Sr. Engineer/Assistant Manager - Linux/Kafka

Qualifications:

 Any bachelor’s degree or Equivalent education, any technical certification in Linux domain will be added advantage

 Minimum 6+ years of Operations Experience in 24x7 high-availability Linux Production environment.

Good Understanding of Operating System:

 Administer and tune Linux systems (Red Hat, SUSE, Ubuntu) in a 24x7 production environment.

 Perform kernel tuning, system hardening, and firewall configuration.

 Manage file systems (EXT3, XFS, NFS), LVM, and patching

 Demonstrated ability to implement and maintain software load balancers like HAProxy, Keepalived for traffic distribution and high availability

 Troubleshoot system issues using tools like iOS tat, vmstat, netstat, Sar, and strace Internal content

Expertise in Kafka & Streaming Systems:

 Design, deploy, and manage Kafka clusters for real-time data ingestion and analytics.

 Integrate Kafka with enterprise systems and data pipelines.

 Monitor and optimize Kafka performance for low latency and high throughput.

 Implement Kafka Connect, Kafka Streams, and Schema Registry.

 Implemented Kafka for data streaming and real-time analytics.

 Conducted performance testing and optimization to ensure high throughput and low latency.

 Developed monitoring and alerting solutions to ensure the health of the Kafka cluster Expertise in Elasticsearch Administration:

 Deploy, configure, and maintain Elasticsearch clusters in production and development environments.

 Monitor cluster health, performance, and availability using tools like Kibana, Grafana, and Prometheus.

 Optimize indexing, querying, and storage strategies for performance and scalability.

 Manage Elasticsearch upgrades, backups, and disaster recovery plans.

 Implement and manage index lifecycle policies and shard allocation strategies

Good understanding of CI/CD & Automation:

 Build and maintain CI/CD pipelines using Jenkins, GitLab CI, or similar tools.

 Automate infrastructure provisioning and configuration using Ansible, Terraform, or Puppet, similar tools

 Implement GitOps workflows and Infrastructure as Code (IaC) practices

 Integrate Elasticsearch into CI/CD pipelines for log aggregation and monitoring

Hands on in Implementing Observability stack:

 Set up monitoring and alerting using Prometheus, Grafana, ELK Stack, or Zabbix.

 Develop custom scripts for log parsing, system health checks, and alert automation

 Familiarity with cloud platforms (AWS, Azure, GCP) and services like EC2, S3, IAM, and VPC.

 Familiarity with containerization (Docker) and orchestration (Kubernetes, Helm).

Awareness on Security & Compliance:

 Role-based access control (RBAC), TLS encryption, and audit logging

 Security best practices including SE Linux, firewall, and audit

 Integration of Elasticsearch with authentication systems (LDAP, SSO, etc.)

 Compliance with data protection and operational standards

 Must possess significant work experience in a production, mission-critical environments

 Red-Hat and Certified Kubernetes Administrator (CKA) Certification will be an added advantage Internal content

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