Senior Cloud Engineer

Senior Cloud Engineer We are looking for an experienced Senior Cloud Engineer to design and support scalable cloud and Kubernetes environments. The role combines hands-on engineering, architecture, automation and collaboration with development teams.
Requirements:
Strong hands-on experience with large-scale, highly available cloud environments . Advanced practical knowledge of Kubernetes , including deployment, management and security. Experience with managed Kubernetes services. Strong understanding of DevOps and Platform Engineering . Expertise in Infrastructure as Code, particularly Terraform or CloudFormation. Experience with cloud-native security practices. Programming skills for infrastructure automation, preferably Python or Go . Strong Linux administration skills. Solid understanding of networking and hybrid cloud environments . Experience with cloud architecture, Kubernetes and serverless solutions. Ability to solve complex technical problems effectively. Experience working in an Agile environment . Strong communication and collaboration skills. Proactive approach to improving engineering practices. Ability to mentor colleagues and contribute to technical discussions. Nice to have Open-source contributions. Experience with on-premises Kubernetes . AWS certifications such as Solutions Architect or DevOps Engineer. Knowledge of FinOps and cloud cost optimization . Kubernetes certifications ( CKA, CKAD, CKS ). Experience with Ansible or similar tools. Knowledge of AI/ML infrastructure .
Must have: Cloud, Kubernetes, DevOps, Platform Engineering, Infrastructure as Code, IaC, Terraform, CloudFormation, Python, Go, Linux, Cloud Architecture, Communication skills
Nice to have: Open-source contributions, AWS Certification, Solution Architect, FinOps, CKA, CKAD, CKS, Ansible, AI/ML
Daily tasks: - Design and maintain highly available cloud infrastructure across AWS and GCP.
– Own cloud engineering projects from design through implementation.
– Design and develop Kubernetes platforms, including managed services.
– Automate infrastructure provisioning and application deployment.
– Develop Infrastructure as Code using Terraform, CloudFormation or similar tools.
– Build self-service capabilities for engineering teams.
– Collaborate with developers and stakeholders on cloud solutions and architecture.
– Support applications running in cloud and Kubernetes environments.
– Implement observability solutions such as Prometheus and Grafana.
– Apply cloud-native security practices.
– Explore LLMs and autonomous AI agents to improve engineering workflows.
– Promote DevOps and Platform Engineering practices.
– Mentor engineers and contribute to technical decisions.
– Participate in on-call rotation and occasional out-of-hours maintenance.