Cloud Engineer

Actively Reviewing the Applications

PMC

India, Vadodara, Gujarat Full-Time On-site

Posted 2 days ago • Apply by June 16, 2026

Job Description

Summary Of The Job

An Cloud Engineer needs 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.

Key Responsibilities

Reporting to the Cloud Architect, you will be expected to:

Implement and maintain monitoring and alerting
Perform root cause analysis for production errors
Perform Anomalies detections
Good understanding of Change detection
Investigate and resolve technical issues
Design procedures/searches for system troubleshooting and maintenance
Build and maintain highly available production systems
Support the design of cloud infrastructure that is secure, scalable, and highly available on AWS
Work collaboratively with software engineering to define infrastructure and deployment requirements
Provision, configure, and maintain cloud infrastructure defined as code
Ensure configuration and compliance with configuration management tools
Troubleshoot problems across a wide array of services and functional areas
Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
Monitor deployments for updates and fixes
Build the automation scripts to be used for updates and fixes
Perform infrastructure cost analysis and optimisation
Build environments adhering to strict security requirements
Migrate legacy environments to the Cloud

Skills & Experience | Essential

Cloud Platform Expertise

Understanding of major cloud platforms: In-depth knowledge of at least one major cloud platform such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
Cloud-native tools: Familiarity with tools specific to the platform, like AWS CloudFormation, Azure Resource Manager (ARM), or Google Cloud Deployment Manager.

Infrastructure as Code (IaC)

Automation of infrastructure: Expertise in IaC tools like Terraform, Ansible, or Chef to automate the provisioning and management of cloud resources.

Containerisation and Orchestration

Docker and Kubernetes: Proficiency in Docker for containerization and Kubernetes for container orchestration.
CI/CD pipelines: Knowledge of integrating containers into Continuous Integration/Continuous Deployment pipelines.

Monitoring and Logging

Monitoring tools: Experience with monitoring solutions like DataDog, Nagios, or AWS CloudWatch to ensure cloud services are operating optimally.
Log management: Skills in using logging tools like Splunk, to collect, analyse, and act on log data.