AWS Cloud Consultant

AWS Cloud Consultant

About the Role

We are looking for a Mid-Level Cloud Engineer with strong hands-on experience in AWS Kubernetes and modern cloud-native engineering practices. This role is ideal for engineers who enjoy solving real infrastructure and platform challenges building scalable systems and working across both platform and application engineering.

The ideal candidate understands how distributed systems operate end-to-end and can confidently troubleshoot automate and improve production environments. We value engineers who focus on fundamentals adaptability ownership and continuous learning over dependency on specific tools or frameworks.

Key Responsibilities

• Design build and maintain scalable Kubernetes-based infrastructure on AWS.
• Manage and improve CI/CD pipelines observability platform reliability security and cloud cost optimization.
• Develop internal tools automation workflows controllers operators and supporting platform services.
• Deploy and support AI-driven services and applications in production environments.
• Work across multi-cloud or customer-specific environments when required.
• Automate manual operational processes and continuously improve platform efficiency.
• Collaborate closely with engineering teams to ensure system reliability scalability and maintainability.
• Troubleshoot infrastructure networking deployment and distributed system issues across environments.

Required Skills & Experience

• 3–6 years of professional experience in Cloud Engineering Platform Engineering or DevOps.
• Strong production experience with AWS cloud services.
• Hands-on expertise in Kubernetes cluster management troubleshooting networking and container orchestration.
• Strong programming skills in at least one language such as Go Python or TypeScript.
• Good understanding of Linux systems networking concepts and distributed application architecture.
• Experience with Infrastructure-as-Code tools such as Terraform Pulumi or AWS CDK.
• Experience building and maintaining CI/CD pipelines and observability platforms.
• Strong troubleshooting debugging and automation skills.
• Ability to work independently in fast-paced and evolving environments.

Preferred Qualifications

• Experience with platform engineering and cloud-native architectures.
• Exposure to AI/ML deployment environments or AI agent infrastructure.
• Experience contributing to internal tools open-source projects or side projects.
• Strong mindset toward continuous learning ownership and operational excellence.

What We Value

• Strong engineering fundamentals and problem-solving mindset.
• Curiosity and willingness to learn new technologies quickly.
• Ownership accountability and collaborative working style.
• Focus on practical solutions automation and continuous improvement.
• Ability to work effectively in environments with ambiguity and rapid iteration.