Support Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Support Engineer

Experience Level: 3 to 7 Years

Work location: Trivandrum

Work Type: Rotational shift

Role & Responsibilities:

• 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 deployment 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 the commerce area to drive greater business value.

Must have skills:

• Proficiency in deploying and maintaining Cloud based infrastructure services (AWS, GCP, Azure)

• 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)

• Basic understanding of Linux System Admin with basic troubleshooting and problem-solving skills

• Basic hands-on experience with languages (Bash/Python/Core Java/Scala)

• Experience with CI/CD pipeline (Jenkins, Git, Maven etc)

Good to have:

• Good hands-on experience in GCP preferably

• Basic experience and understanding of ML Ops

• Basic knowledge of Agile/Scrum/DevOps software development methodologies