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PMC Commerce in Vadodara is looking for a skilled Cloud Engineer to support and enhance our cloud infrastructure and operations. The position involves collaborating closely with development teams to implement best practices for SaaS and application support in a continuously deployable environment.
The ideal candidate will have extensive experience with AWS, IaC, and container orchestration tools like Docker and Kubernetes, and will be part of a shift-based team handling incidents and ensuring high availability.
An Cloud Engineerneeds to have excellent AWS/Cloud services support experience. Development and integration services enable retailers, hospitality, and service organisations to create engaging and seamless customer experiences. Using the combination of cloud platform, endpoint integration application and development capabilities. You will work closely with our existing development on Infrastructure teams to fully establish and drive forward Cloud Ops SaaS and application support and best practices in the company.
Experience in a similar role with an emphasis on a high-pressure 24x7x365 ops monitoring and infrastructure support environment. Establishing and reviewing configuration management, automating our infrastructure, implementing continuous integration, and complimenting the team in DevOps best practices to help achieve a continuously deployable system. You will be part of a 24x7 shift-based team monitoring and resolving incidents both on our SaaS platform and deployed applications when required.
You will be part of a team set up for success, responding to customer generated issues raised to the Cloud Ops support team via the Service Desk, and will be working collaboratively to find resolutions for the customer.
You will assist in identifying production issues and implementing integrations that meet customer needs and help put in place the processes to build scalable, efficient cloud infrastructure.
You’ll be involved in implementing and improving monitoring for automated system health checks using tools such as DataDog and Splunk, as well as be helping to implement observability into the company to ensure real-time resolution and pre-emptive identification of issues.