Azure DevOps Engineer, Kafka Exp

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August 15

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Everest Technologies, Inc

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B2B • IT Services • SaaS

Everest Technologies, Inc. is a technology solutions provider that focuses on addressing business challenges through innovative IT services. The company specializes in managed services, project solutions, and staff augmentation, helping organizations improve their engineering capabilities and enhance their operational efficiency. Everest Technologies leverages advanced methodologies in DevOps, quality engineering, and cloud enablement, offering a wide range of application services to drive technology transformations across various industries.

51 - 200 employees

Founded 1997

🤝 B2B

☁️ SaaS

📋 Description

• Design, build, and maintain CI/CD pipelines using Azure DevOps. • Automate infrastructure provisioning using Terraform, ARM templates, or Bicep. • Deploy, configure, and manage Confluent or Apache Kafka clusters (on-prem, Confluent Cloud, or Azure). • Implement Kafka topics, partitions, consumer groups, and security configurations (SSL, SASL, ACLs). • Monitor and troubleshoot Kafka performance, lag, and reliability issues. • Manage Azure resources including AKS, Azure Functions, Azure Event Hubs, and Azure Monitor. • Integrate Kafka with downstream and upstream systems (databases, APIs, data lakes, event-driven microservices). • Maintain robust monitoring, logging, and alerting using Prometheus, Grafana, ELK, or Azure Monitor. • Collaborate with development, data engineering, and architecture teams to support event-driven systems. • Ensure high availability, fault tolerance, and disaster recovery configurations for Kafka clusters.

🎯 Requirements

• 5+ years of experience in DevOps engineering with a focus on Azure Cloud • Hands-on experience with Apache Kafka / Confluent Kafka (setup, administration, and troubleshooting) • Strong skills in CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, etc.) • Proficiency in Infrastructure as Code (IaC) tools: Terraform, ARM, or Bicep • Experience with container orchestration (Kubernetes, AKS) • Knowledge of networking, load balancing, and security best practices in cloud environments • Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK, Azure Monitor, Splunk) • Strong scripting skills in Bash, PowerShell, or Python • Good understanding of event-driven architectures and real-time data streaming