Cloud Operations WM Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Operations WM Lead based in India. This role is an opportunity to support and evolve cloud infrastructure powering large-scale warehouse management solutions. You will work closely with solution architects, engineering teams, and business stakeholders to design, deploy, and operate reliable cloud environments. The position combines hands-on AWS and Kubernetes operations with automation, infrastructure as code, incident response, and full-stack troubleshooting. You will play a key role in maintaining production customer environments and improving operational reliability and service levels. The environment is technically diverse, spanning Java applications, containers, operating systems, virtualization, and cloud infrastructure. It is well suited to an experienced cloud operations professional who enjoys solving complex production challenges and continuously improving how systems are operated. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Operations WM Lead based in India. This role is an opportunity to support and evolve cloud infrastructure powering large-scale warehouse management solutions. You will work closely with solution architects, engineering teams, and business stakeholders to design, deploy, and operate reliable cloud environments. The position combines hands-on AWS and Kubernetes operations with automation, infrastructure as code, incident response, and full-stack troubleshooting. You will play a key role in maintaining production customer environments and improving operational reliability and service levels. The environment is technically diverse, spanning Java applications, containers, operating systems, virtualization, and cloud infrastructure. It is well suited to an experienced cloud operations professional who enjoys solving complex production challenges and continuously improving how systems are operated. Accountabilities: Manage SaaS Kubernetes applications running in AWS and support reliable operation of production customer environments. Monitor event-driven alerts, investigate incidents, and troubleshoot issues to minimize service disruption and maintain operational SLAs. Triage and resolve tickets raised by client services and other internal stakeholders. Work with solution architects and business stakeholders to identify, design, develop, and deploy infrastructure engineering solutions. Execute plans for introducing new technologies and capabilities into cloud environments. Troubleshoot operating system, application, virtualization, containerization, and infrastructure issues across the technology stack. Support large-scale Java applications and diagnose application and environment-related performance or reliability issues. Implement and maintain Infrastructure as Code using technologies such as Terraform. Develop automation and operational processes using tools such as Ansible, Python, and Azure DevOps to improve efficiency and consistency. Collect and analyze performance data, identify root causes, and tune infrastructure and applications accordingly. Manage and troubleshoot Kubernetes environments, including containerized applications and Helm-based deployments. Work with application technologies such as IIS and Tomcat and provide full-stack troubleshooting across infrastructure and application layers. Use Git and other source-control practices to manage operational and automation code. Support geographically distributed environments and contribute to reliable operations across hosted cloud and data-center infrastructure. Requirements: Bachelor’s degree or 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 production environments. Experience working with OCI-based environments, with multi-cloud exposure considered an advantage. Strong hands-on experience with Kubernetes administration, implementation, and troubleshooting. Extensive knowledge of Infrastructure as Code principles and practical experience with Terraform. Strong automation skills using tools such as Python, Ansible, Azure DevOps, Terraform, or comparable technologies. Working knowledge of both Windows and Linux operating systems. Experience supporting application containers and technologies such as IIS and Tomcat. Strong troubleshooting and analytical skills, including experience collecting performance data, diagnosing issues, and tuning systems. Experience with Git or other source-control management systems. Understanding of microservices architectures and common application protocols such as TCP/IP, HTTP, SOAP, SMTP, REST APIs, XML/JSON, JDBC, and JMS/MQ is advantageous. Experience with Dynatrace, Helm-templated Kubernetes environments, Java application management, or application threading and concurrency is a plus. Ability to investigate issues involving response times, connectivity, authentication, authorization, configuration, and other environment-related factors. Strong communication and collaboration skills, with the ability to work effectively with technical teams, architects, business stakeholders, and customer-facing teams. Ability to work independently, respond effectively to incidents, and continuously improve operational processes in a fast-paced environment. Benefits: Full-time, remote position based in India. Opportunity to work with large-scale cloud infrastructure and production customer environments. Hands-on exposure to AWS, OCI, Kubernetes, Terraform, Java, containers, automation, and modern cloud operations practices. Opportunity to contribute to infrastructure modernization and the adoption of new technologies. Broad technical exposure across cloud, operating systems, applications, virtualization, containers, networking, and observability. Collaborative environment with close interaction with solution architects, engineering teams, business stakeholders, and client services. Opportunities to develop automation and improve operational efficiency, reliability, and service levels. Exposure to geographically distributed systems and global cloud/data-center environments. Inclusive workplace focused on professional growth, innovation, and continuous improvement. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1