Cloud Operations TM Lead

Accountabilities: • Manage and support SaaS Kubernetes applications running in AWS, ensuring reliable and efficient production operations.

• Monitor event-driven alerts, investigate incidents, and resolve operational issues to maintain application availability and service-level objectives.

• Triage and resolve tickets raised by client services teams, collaborating with relevant technical stakeholders when escalation is required.

• Work with solution architects and business stakeholders to identify, design, develop, and deploy infrastructure engineering solutions.

• Support the rapid and controlled rollout of new technologies and capabilities across cloud environments.

• Troubleshoot operating system, application, virtualization, and containerization issues across the technology stack.

• Support large-scale Java applications and contribute to troubleshooting .NET-based applications where required.

• Implement and maintain Infrastructure as Code using Terraform and related technologies.

• Develop automation and operational tooling using Jenkins, Ansible, Python, Terraform, and similar technologies.

• Collect and analyze system and application performance data, identify root causes, and implement appropriate tuning and optimization.

• Manage Kubernetes environments, including Helm-templated deployments and containerized applications such as Tomcat.

• Perform full-stack troubleshooting across cloud infrastructure, applications, containers, networking, and supporting services.

• Use Git and established source-control practices to manage automation and infrastructure code.

• Contribute to the continuous improvement of operational processes, automation, reliability, and service-level performance.

Requirements:

• Bachelor’s degree or an equivalent combination of education and relevant professional experience.

• 5+ years of experience in cloud operations, infrastructure engineering, DevOps, or software development environments.

• 3+ years of experience supporting large-scale Java applications.

• 3+ years of hands-on experience supporting AWS-based environments.

• Extensive practical experience with Infrastructure as Code principles and technologies, particularly Terraform.

• Strong understanding of Linux operating systems and cloud-based production environments.

• Hands-on experience implementing, managing, and troubleshooting Kubernetes solutions.

• Broad automation experience using technologies such as Jenkins, Terraform, Ansible, and Python.

• Experience collecting performance metrics, analyzing system behavior, troubleshooting issues, and tuning applications or infrastructure.

• Strong knowledge of application containers, particularly Tomcat.

• Experience with full-stack troubleshooting and Git/source-control management.

• Multi-cloud experience, particularly with AWS and Azure, is advantageous.

• Experience supporting .NET applications and working with Dynatrace is a plus.

• Familiarity with Helm-based Kubernetes environments and microservices architectures is desirable.

• Understanding of common application protocols and messaging technologies, including TCP/IP, HTTP, SOAP, SMTP, REST APIs, XML/JSON, JDBC, and JMS/MQ.

• Knowledge of application threading and concurrency concepts, as well as troubleshooting response-time, connectivity, authentication, authorization, and configuration issues.

• Strong analytical, problem-solving, and communication skills with the ability to work effectively across engineering, architecture, business, and customer-facing teams.

• Ability to work independently in a production-focused environment and continuously improve operational processes.

Benefits:

• Full-time, remote position based in India.

• Opportunity to work with large-scale SaaS platforms and production cloud environments.

• Hands-on exposure to AWS, Kubernetes, Terraform, Jenkins, Ansible, Python, Java, .NET, and modern container technologies.

• Broad technical experience across cloud infrastructure, application operations, automation, observability, networking, and troubleshooting.

• Opportunity to contribute to cloud modernization and the adoption of new technologies.

• Collaboration with solution architects, engineering teams, business stakeholders, and client services teams.

• Opportunities to develop automation that improves operational efficiency, reliability, and service levels.

• Exposure to multi-cloud environments and geographically distributed production systems.

• Inclusive and collaborative working environment focused on innovation, continuous learning, and professional growth.

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