4 Sasl Jobs

As a Kafka Administrator at our Merchant Ecommerce platform in Noida Sector 62, you will be responsible for managing, maintaining, and optimizing our distributed, multi-cluster Kafka infrastructure in an on-premise environment. You should have a deep understanding of Kafka internals, Zookeeper administration, and performance tuning to ensure operational excellence in high-throughput, low-latency production systems. Experience with API gateway operations (specifically Kong) and observability tooling is considered a plus. Your key responsibilities will include: - Managing multiple Kafka clusters with high-availability Zookeeper setups - Providing end-to-end operational support including deployment, configuration, and health monitoring of Kafka brokers and Zookeeper nodes - Conducting capacity planning, partition strategy optimization, and topic lifecycle management - Implementing backup and disaster recovery processes with defined RPO/RTO targets - Enforcing security configurations such as TLS encryption, authentication (SASL, mTLS), and ACL management - Optimizing Kafka producer and consumer performance to meet low-latency, high-throughput requirements - Planning and executing Kafka and Zookeeper upgrades and patching with minimal/zero downtime - Integrating Kafka with monitoring platforms like Prometheus, Grafana, or similar tools - Defining and enforcing log retention and archival policies in line with compliance requirements Additionally, you will be responsible for integrating Kafka metrics and logs with centralized observability and logging tools, creating dashboards and alerts to monitor Kafka consumer lag, partition health, and broker performance, and collaborating with DevOps/SRE teams to ensure visibility into Kafka services. You will also be involved in applying CIS benchmarks, performing automated security scans across Kafka nodes, managing secret and certificate rotation, supporting regular vulnerability assessments, and ensuring timely remediation. To be successful in this role, you should have: - 3+ years of hands-on Kafka administration experience in production environments - Strong understanding of Kafka internals and Zookeeper management - Experience in Kafka performance tuning, troubleshooting, and security mechanisms - Proficiency in monitoring and logging tools and scripting skills for operational automation Preferred qualifications include experience with API gateways, Kubernetes-based environments, compliance standards, security hardening practices, and Infrastructure as Code (IaC) tools. In return, we offer you a mission-critical role in managing large-scale real-time data infrastructure, a flexible work environment, opportunities for growth, and access to modern observability and automation tools.,

As a Kafka Administrator at our Merchant Ecommerce platform, located in Noida Sector 62, you will be responsible for managing, maintaining, and optimizing our distributed, multi-cluster Kafka infrastructure in an on-premise environment. Your role will require a deep understanding of Kafka internals, Zookeeper administration, performance tuning, and operational excellence in high-throughput, low-latency production systems. Additionally, experience with API gateway operations (specifically Kong) and observability tooling would be advantageous. Your key responsibilities will include managing multiple Kafka clusters with high-availability Zookeeper setups, conducting end-to-end operational support, capacity planning, implementation of backup and disaster recovery processes, enforcing security configurations, optimizing Kafka producer and consumer performance, planning and executing upgrades and patching, integrating with monitoring platforms, defining log retention and archival policies, monitoring Kafka metrics and logs, collaborating on security and compliance measures, and supporting regular vulnerability assessments. You will be expected to have at least 3+ years of hands-on Kafka administration experience in production environments, a strong understanding of Kafka internals and Zookeeper management, experience with performance tuning and troubleshooting, familiarity with security mechanisms like TLS/mTLS, ACLs, and SASL, proficiency with monitoring and logging tools, and scripting skills for operational automation. Experience with API gateways, Kubernetes-based environments, compliance standards, security hardening practices, and IaC tools would be a plus. In return, we offer you a mission-critical role in managing large-scale real-time data infrastructure, a flexible work environment, opportunities for growth, a supportive team, and access to modern observability and automation tools.,

About the job Sarvaha would like to welcome Kafka Platform Engineer (or a seasoned backend engineer aspiring to move into platform architecture) with a minimum of 4 years of solid experience in building, deploying, and managing Kafka infrastructure on Kubernetes platforms. Sarvaha is a niche software development company that works with some of the best funded startups and established companies across the globe. Please visit our website at What Youll Do - Deploy and manage scalable Kafka clusters on Kubernetes using Strimzi, Helm, Terraform, and StatefulSets - Tune Kafka for performance, reliability, and cost-efficiency - Implement Kafka security: TLS, SASL, ACLs, Kubernetes Secrets, and RBAC - Automate deployments across AWS, GCP, or Azure - Set up monitoring and alerting with Prometheus, Grafana, JMX Exporter - Integrate Kafka ecosystem components: Connect, Streams, Schema Registry - Define autoscaling, resource limits, and network policies for Kubernetes workloads - Maintain CI/CD pipelines (ArgoCD, Jenkins) and container workflows You Bring - BE/BTech/MTech (CS/IT or MCA), with an emphasis in Software Engineering - Strong foundation in the Apache Kafka ecosystem and internals (brokers, ZooKeeper/KRaft, partitions, storage) - Proficient in Kafka setup, tuning, scaling, and topic/partition management - Skilled in managing Kafka on Kubernetes using Strimzi, Helm, Terraform - Experience with CI/CD, containerization, and GitOps workflows - Monitoring expertise using Prometheus, Grafana, JMX - Experience on EKS, GKE, or AKS preferred - Strong troubleshooting and incident response mindset - High sense of ownership and automation-first thinking - Excellent collaboration with SREs, developers, and platform teams - Clear communicator, documentation-driven, and eager to mentor/share knowledge Why Join Sarvaha? - Top notch remuneration and excellent growth opportunities - An excellent, no-nonsense work environment with the very best people to work with - Highly challenging software implementation problems - Hybrid Mode. We offered complete work from home even before the pandemic.

Job Summary: We are looking for an experienced Kafka Administrator to manage, monitor, and optimize our Apache Kafka infrastructure. The ideal candidate will ensure high availability, security, scalability, and performance of Kafka clusters, supporting our real-time data streaming needs. Key Responsibilities: Install, configure, and maintain Apache Kafka clusters in production and non-production environments. Monitor cluster health, performance, and capacity using tools like Prometheus, Grafana, or Confluent Control Center. Perform troubleshooting, root cause analysis, and issue resolution for Kafka-related incidents. Manage Kafka topics, partitions, brokers, and consumer groups. Implement and maintain Kafka security (SSL, SASL, Kerberos authentication, ACLs). Plan and execute Kafka upgrades, patching, and migrations. Collaborate with DevOps, Data Engineering, and Development teams for integration and optimization. Maintain disaster recovery plans, backups, and cluster scaling strategies. Ensure high availability and data integrity in streaming pipelines. Required Skills & Qualifications: 2-6 years of hands-on experience as a Kafka Administrator or similar role. Strong expertise in Kafka architecture, Zookeeper, and related components. Experience with Confluent Kafka platform preferred. Proficiency in Linux/Unix system administration. Knowledge of Shell scripting, Python, or Ansible for automation. Familiarity with cloud platforms (AWS, Azure, GCP) and Kafka deployment on Kubernetes is a plus. Strong problem-solving skills and ability to work in a fast-paced environment.