About the Role:

• Service Management Lead Cloud Engineer:
• · Strong understanding of Cloud and infrastructure components (server, storage, network, data, and serverless applications) to deliver end-to-end cloud infrastructure architectures and designs.
• · Experience and knowledge in migrating /modernizing legacy applications to the cloud / Cloud ready / Cloud Native.
• · Design of cloud environments with a focus on AWS / Azure and demonstrate technical cloud architectural knowledge, playing a vital role in the design of production, staging, QA, and development of cloud infrastructures running in 24x7 environments.
• Identifies risks & issues and take ownership to deliver appropriate resolutions.
• Provides specialist support during complex and/or major incidents and serves as a point of escalation for technical issues, root cause analysis and problem management.
• lead recovery efforts during major incidents and post-incident updates to stakeholders.
• Mentor and coach managers to create healthy and well-executing teams Develop engineers on the team, enabling them to advance in their careers.
• Supporting proof of concept and production deployments of these cloud technologies.
• Understanding of DevOps culture and acting as scrum master for the team
• Excellent mentoring and skills transfer capabilities.

About You:

• You are fit for the role of a Lead Cloud Engineer if you have:
• Bachelor of Computer Science or equivalent with relevant work experience in cloud engineering.
• Excellent problem solving, troubleshooting and analytical skills.
• Good communication and collaboration skills with onsite/remote teams.
• Basic understanding of some aspect(s) of network stack and network protocols,
• Infrastructure technical background essential with working knowledge in multi-cloud environment AWS, Azure, Google cloud.
• Hands-on system administration experience in Linux preferably Redhat with Practical experience designing and building enterprise, virtualized, scalable systems with an emphasis on server and storage, Monitoring and logging tools (Ex: Datadog, AWS Cloudwatch)