AWS Cloud Consultant

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.