We are seeking a highly skilled Operational Manager to lead and manage our Cloud Managed Services team. The ideal candidate will oversee day-to-day operations, ensure service delivery excellence, optimize cloud environments (with focus on GCP,Azure & AWS), and drive operational efficiencies. You will be responsible for managing a diverse team, collaborating with stakeholders, and ensuring compliance with service-level agreements (SLAs). Key Responsibilities: Operational Leadership: Manage and lead a team of cloud engineers and support staff in delivering managed services across GCP and other cloud platforms (AWS, Azure). Oversee day-to-day operations, including incident management, problem resolution, and change management. Ensure adherence to ITIL practices, industry standards, and best practices. Service Delivery & Performance Management: Ensure compliance with SLAs, OLAs, and customer satisfaction metrics. Monitor, analyze, and report on cloud service performance, identifying areas for improvement. Implement proactive monitoring, automation, and operational improvements to enhance service delivery. Stakeholder Engagement: Collaborate with internal teams and external clients to understand business needs and deliver customized cloud solutions. Act as the primary point of escalation for operational issues and ensure timely resolution. Operational Efficiency & Automation: Drive automation initiatives to reduce manual intervention and improve operational efficiency. Implement cost optimization strategies and ensure cloud resources are used effectively. Team Management & Development: Recruit, mentor, and develop high-performing technical teams. Conduct regular performance reviews and provide professional growth opportunities. Compliance & Security: Ensure adherence to security and compliance policies across cloud environments. Manage audits, disaster recovery (DR), and business continuity (BC) processes. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 10+ years of experience in IT operations, with at least 3 years in a managerial capacity. Strong knowledge of Google Cloud Platform (GCP) with hands-on experience in managing services like GCE (VMs), GKE (Kubernetes), BigQuery, and IAM. Proven expertise in cloud operations, monitoring, automation, and incident management. Experience managing hybrid and multi-cloud environments (GCP, AWS, Azure). Solid understanding of ITIL processes, service management frameworks, and SLA/OLA management. Strong leadership, communication, and problem-solving skills. Experience with Infrastructure as Code (IaC) tools (Terraform, Deployment Manager) and automation frameworks (Ansible, Chef, or Puppet). Knowledge of networking, security, and compliance in cloud environments. Good-to-Have Skills (GCP Focus): Google Professional Cloud Architect or Google Cloud Operations certification. Familiarity with FinOps principles for cost management and optimization. Understanding of SRE (Site Reliability Engineering) methodologies.

Required: Expertise in AWS, including basic services like networking, data and workload management. o AWS Networking: VPC, VPC Peering, Transit Gateway, RouteTables, SecurityGroups, etc. Data: RDS, DynamoDB, ElasticSearch Workload: EC2, EKS, Lambda, etc. Required Skills: Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup, templating and configuration. Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like a pod, deployment, networking, and service mesh. Used any package manager like Helm. Scripting experience (python), automation in pipelines when required, system service. Infrastructure automation (Terraform/pulumi/cloud formation), write modules, setup pipeline and version the code. Optional: Experience in any programming language is not required but is appreciated. Good experience in GIT, SVN or any other code management tool is required. DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artefacts, infrastructure and code. Observability tools (Opensource: Prometheus, Elasticsearch, OpenTelemetry; Paid: Datadog, 24/7, etc)

Required Expertise in any one hyper-scale (AWS/AZURE/GCP), including basic services like networking, data and workload management. AWS Networking: VPC, VPC Peering, Transit Gateway, RouteTables, SecurityGroups, etc. Data: RDS, DynamoDB, ElasticSearch Workload: EC2, EKS, Lambda, etc. Azure Networking: VNET, VNET Peering, Data: Azure MySQL, Azure MSSQL, etc. Workload: AKS, VirtualMachines, AzureFunctions GCP Networking: VPC, VPC Peering, Firewall, Flowlogs, Routes, Static and External IP Addresses Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery Workload: GKE, Instances, App Engine, Batch, etc. Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup, templating and configuration. Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment, networking, service mesh. Used any package manager like helm. Scripting experience (Bash/python), automation in pipelines when required, system service. Infrastructure automation (Terraform/pulumi/cloudformation), write modules, setup pipeline and version the code. Optional Experience in any programming language is not required but is appreciated. Good experience in GIT, SVN or any other code management tool is required. DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code. Observability tools (Opensource: Prometheus, Elasticsearch, OpenTelemetry; Paid: Datadog, 24/7, etc)