Senior DevOps Engineer - Terraform/Pulumi

Job Description : Should be able to research and implement new open-source tools with little help from leadership. A person with 4 to 6 years of experience and extremely good at automation. With expertise of working on latest technologies like terraform, Pulumi, Phantom, Immutable infrastructure, end to end automation, service mesh, Istio, Elastic, Spinnaker, Prometheus, Grafana, Datadog, PostgreSQL, Mongo, MySQL, Kafka, Zookeeper, AWS/Azure cloud, etc. Must Haves : 1). Proficient in communication with stakeholders : a). proactive ticket updates and working with stakeholders b). vocal in meetings c). eloquently putting his/her point forward d). Actively drive war rooms 2). Executing on POC's with speed and implementing at scale. 3). Eagar to experiment with innovative technologies like service mesh, immutable infrastructure, cloud agnostic IaC, MLOps, end to end automation, spinnaker, observability etc. 4). Hands on setting CI/CD for microservices from scratch in a scalable way : a). Running Jenkins in Kubernetes as immutable infrastructure i). Jenkins Shared lib with scripted pipeline ii). Setting up so that builds are run inside docker b). Integrating third party checks in pipeline 5). Expert level troubleshooting in microservice based architecture. Having knack for solving production issues quickly. Expert in troubleshooting in a complex production environment at all levels of the system. 6). Lead and execute projects end to end with clear visibility and ownership. 7). Design scalable systems with operational concern addressed at the core. 8). Maintaining various application clusters like Kafka, Zookeeper, Mariadb, Elastic, etc in Cloud using end to end automation 9). Expert in Kubernetes : a). Creating and managing k8s cluster using automation b). Deploying services using end to end pipeline c). running and managing production k8s clusters d). Troubleshooting production k8s issues 10). Expert on working on public cloud. : a). Should be well versed with numerous services in cloud b). Setup a secure & scalable infrastructure with automation 11). Expert in observability tools like Prometheus, Grafana, Kubecost, Elastic APM or Datadogetc 12). Hands on with centralized logging setup. 13). Proficient in coding. Hands on with Python or Groovy scripting or excellent shell scripting. Good to have : 1. Proficient working on Azure cloud. 2. Basic understanding and hands-on experience with MLOps 3. Excellent at documenting and visualizing the system 4. Good with data gathering, analysis and generating reports. (ref:hirist.tech)

Location: noida-gautam-buddha-nagar, IN

Posted Date: 11/21/2024