Cloud Support Engineer

Position Responsibilities

• Execute service and change requests within defined SLA and turnaround time (TAT).
• Participate in scheduled operational activities including Disaster Recovery (DR) drills, deployments, and patching.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Understand the current application infrastructure and suggest improvements to it.
• Ensure adherence to cloud best practices and compliance standards using Cloud Security Posture Management (CSPM) tools.
• Assist in identifying root causes and implementing mitigation strategies for critical incidents.
• Collaborate in planning, designing, and solutioning discussions with cross-functional teams.
• Monitor cloud resources for health checks, alerts, and notifications to ensure optimal performance and availability.
• Support both technical and non-technical stakeholders in identifying and optimizing their cloud resources.
• Handle issues and tasks related to cloud infrastructure including networking, Windows, Linux, and other platform-specific components.

Qualifications and Experience Requirement

Qualifications Essential

• Bachelor's degree in computer science, Information Technology, or a related field.
• 5 - 7 years of experience with GCP services and tools.
• Experience with one or more of these solutions: Google App Engine, Cloud Function, Cloud run or open source software communities.
• Knowledge of core data structures and concepts: MVCC, CI/CD Pipelines, HTTP Protocol, web frameworks and common web technologies.
• Basic System/Network Administrator level knowledge of Linux/Unix or Windows systems (from Kernel to Shell and beyond, file systems and client-server protocols).
• Strong experience designing and building multi-tenant IaaS and PaaS cloud solutions with particular emphasis on Google Cloud;
• Exposure to SDLC and continuous delivery toolsets: GitLab CI, TravisCI, CircleCI and Jenkins or comparable tools;
• Knowledge using automation scripting languages: Python, Ansible, Bash or similar;
• Strong experience with cloud solution design patterns (microservices, messaging, distributed caching, containers, IAM etc.);
• Experience in designing and deploying cloud-based applications on GCP and Landing Zone
• Google VPC, Cloud compute engine, Cloud App engine, google API gateway, cloud functions, cloud run, load balancing, cloud web hosting.
• Experience on working with services used for Data Science BigQuery, Composer, Vertex AI, DataProc and DataFusion.
• GCP management & monitoring Tool (Monitoring, Logging, Error Reporting, Trace, Cloud Console)
• Experience in troubleshooting connectivity issues, VMs, instance groups, OS management, networking issues, storage and service accounts

Skills

• Working knowledge of IaC Tools such as(CloudFormation, Terraform etc)
• Experience with implementing Automation and optimizations using Cloud native and serverless approaches.
• Strong analytical and problem-solving skills with attention to detail.
• Good understanding of ITIL processes including incident, change, and problem management.
• Excellent verbal and written communication skills; able to convey technical information clearly to both technical and non-technical stakeholders.
• Ability to remain calm and focused under pressure, especially during production incidents and critical outages.
• Willingness to work in a 24x7 rotational shift model from the office, including weekends and holidays as required.
• Strong sense of ownership and accountability for tasks and deliverables.
• Collaborative mindset with the ability to work effectively in cross-functional teams.
• Proactive attitude towards learning and continuous improvement.