Cloud Engineer, IE&O

Position Title: Cloud Engineer, IE&O
Position Type: Regular - Full-Time
Requisition ID: 40305
JOB PURPOSE:
We are seeking an experienced Cloud Engineer to design and implement operational processes for cloud infrastructure. The role ensures operational efficiency and reliability within our cloud environment, which includes operational support for Azure Kubernetes Service (AKS).
You'll work closely with cross-functional architecture and engineering teams to ensure the reliability of cloud services - designing, building and testing the cloud infrastructure services, components and workloads to ensure they are highly available scalable and performant.
JOB RESPONSIBILITIES:

• Establish scalable and efficient operational procedures for cloud infrastructure, including AKS.
• Collaborate with cloud service providers to ensure reliable and cost-effective cloud operations.
• Maintain operational governance to ensure adherence to compliance and risk management requirements.
• Work with cross-functional teams, including IT, development, and security teams, to ensure seamless cloud operations.
• Manage capacity planning to meet current and future cloud infrastructure demands.
• Maintain comprehensive documentation of operational processes, procedures, and configurations.
• Monitor the health of APIs (CPU, Memory etc)
• Diagnose problem APIs/Function Apps and suggest corrections.
• Monitor the health of our SQL Managed Instance (CPU, Memory, IO operations)
• Recommend changes to and implement allocated resources where necessary (change/choose Service Tiers, Hardware etc.)
• Monitor the health of our Logic Apps (request limits, throttle problems, memory issues on VMs etc)
• Maintain Certificates, Security (such as client secret resets) between platforms and ensure up - time for all integrations/connections
• Targeting 50/50 split of effort to the stability and performance of cloud services and infrastructure, and cloud application, workload and infrastructure engineering.
• Automating repetitive tasks in cloud infrastructure, application and workload deployment to improve efficiency and reduce the potential for human error.
• Design, build, and maintain scalable and reliable systems to support applications and services on a global scale.
• Implement tools and frameworks for automation, monitoring, and incident response to ensure system reliability.
• Implementing observability, across complex cloud workloads and technology stacks.
• Collaborate with architects, DevOps teams, network engineers, and development teams to optimize application performance and reliability.
• Conduct post-incident reviews and implement solutions to prevent recurrence of issues.
• Develop and maintain tools for automated system monitoring and scaling, embedding tools in infrastructure deployments leveraging IaC.
• Influence and design infrastructure, architecture, standards and methods Influence and Influence and help design cloud infrastructure service architectures and standards for large-scale and global systems.
• Support developing and maintaining cloud architecture and design documents.
• Support services prior to production via infrastructure design, software platform development, load testing, capacity planning and launch reviews.
• Maintain services during deployment and in production by measuring and monitoring key performance and service level indicators including availability, latency, and overall system health.

KEY QUALIFICATION & EXPERIENCES:

• 15 years' experience in cloud infrastructure engineering roles
• 1-3 years' experience as Site Reliability Engineer or similar role, in a global organization.
• Bachelor's degree in computer science, information systems or other related field (or equivalent work experience)
• Strong proficiency in architecture principles, cloud native designs and technologies, automation and orchestration frameworks and practices
• Hands-on experience with IaC and automation tools such as Terraform and Ansible
• Proficiency in Python, Scripting YAML, Microsoft DevOps, Terraform (IaC), Bash, etc.) for automation tasks.
• High level of proficiency with performance and scalability on cloud platforms (AWS, Azure, GCP)
• Experience working with edge compute and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Demonstrated experience developing and/or architecting performant applications in public cloud.
• Demonstrated experience in implementing cloud observability, across complex cloud workloads and technology stacks.
• Demonstrated experience working with various cloud native technologies and services including compute, storage, networking, security and data services.
• Experience with continuous integration and continuous delivery (CI/CD) tooling and practices.

OTHER INFORMATION

• Key internal relationships: Director, IT Operations & Platform Support, Application Support, IT Architects, ITSM Manager, Network Services, Security, IT Operations (internal and external).
• Key external relationships: External vendors, partners and service providers.
• Travel: as required.
• Job is primarily performed in a standard office environment. However, this could be remotely during the COVID pandemic period.

McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain's Global Privacy Policy and Global Employee Privacy Policy , as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here .
Job Family: Information Technology
Division: Global Digital Technology
Department: Cloud Engineering India
Location(s): IN - India : Haryana : Gurgaon
Company: McCain Foods(India) P Ltd