Q

DevOps Engineer

Quantiphi Inc. Verified employer

Actively hiring · Posted 2d ago · JEV26103E0164BD26

Salary₹2,00,000 – ₹12,00,000 per year
Experience2–6 yrs
LocationMumbai, Maharashtra
Work modeOffice · Full time
Openings1

Job description

Job Description:● Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms● Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset● Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools● Automate the development and test automation processes through CI/CD pipeline (Git, Jenkins, SonarQube, Artifactory, Docker containers)● Build container hosting-platform using Kubernetes● Introduce new cloud technologies, tools & processes to keep innovating in commerce area to drive greater business value.Skills Required:● Excellent written and verbal communication skills and a good listener.● Proficiency in deploying and maintaining Cloud based infrastructure services (AWS, GCP, Azure – good hands-on experience in at least one of them)● Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks.● Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS, SQS) and automation (Eg. CFT/Terraform).● Experience with relational SQL and NoSQL databases, including Postgres andCassandra.● Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform)● Strong Linux System Admin Experience with excellent troubleshooting and problem solving skills● Hands-on experience with languages (Bash/Python/Core Java/Scala)● Experience with CI/CD pipeline (Jenkins, Git, Maven etc)● Experience integrating solutions in a multi-region environment● Self-motivate, learn quickly and deliver results with minimal supervision● Experience with Agile/Scrum/DevOps software development methodologies.Nice to Have:● Experience in setting-up Elastic Logstash Kibana (ELK) stack.● Having worked with large scale data.● Experience with Monitoring tools such as Splunk, Nagios, Grafana, DataDog etc.● Previously experience on working with distributed architectures like Hadoop, Mapreduce etc.

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