• Us Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 1st Dec 2021

•             Hands on experience on Grafana, Prometheus with various exporters and Blackbox setup.

•             Experience working with some of the following tech stack – Kubernetes, Docker & Python, AWS, Java, Springboot.

•             Definition and deployment of systems for metrics, logging, and monitoring

•             Hands on experience on CICD pipeline, python, groovy, and JIRA Automation.

•             Ensuring availability, performance, security, and scalability of production systems.

•             System integration using a wide variety of protocols, not limited to REST, SOAP, MQ, TCP/IP, JSON.

•             Ensure scalability & high availability with efficient server virtualization, networking and storage.

•             Manage large scale deployments (thousands of servers, auto scaling etc) using Kubernetes container orchestration.

•             Create architecture runways that enable rapid recovery, repair & cleanup of faulty migrations, with the objective of building fault tolerant systems.

•             Create automations to resolve common faults in a system to reduce MTTI/MTTR.

•             Identify & enable self-service capabilities for infrastructure & application management tasks

•             Very high problem-solving ability, able to handle work under pressure, strong written and verbal communication skills.

•             Solid understanding of systems, data structures, modern scripting and passion for enterprise level languages and open source tools.

•             Bachelor's Degree in Computer Science/Computer Engineering / Relevant technologies

•             Good communication skills and troubleshooting skills

•             4+ years of development experience on Kubernetes, Kafka Streaming, Docker, AWS Cloud

Responsibilities:

•             Design/Develop pub/sub messaging using Kafka / Kubernetes clusters

•             Install Kafka / Kubernetes clusters

•             Write design specs

•             Monitoring and Automation

•             Building test scripts and support testing

•             Support environment and service issues

•             Performance turning and verification

•             Participate towards on-call when necessary