Job at a glance
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 and Cassandra. ● 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.