Senior Cloud Engineer
- 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.
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.
,[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.] Requirements: Cloud, Kubernetes, DevOps, Platform Engineering, Infrastructure as Code, IaC, Terraform, CloudFormation, Python, Go, Linux, Cloud Architecture, Communication skills, Open-source contributions, AWS Certification, Solution Architect, FinOps, CKA, CKAD, CKS, Ansible, AI/ML