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.