Cloud Engineer

Job Description:

• Design and implement scalable, secure AWS architectures based on client requirements.
• Assess current-state environments and propose effective cloud migration strategies.
• Build patterns and frameworks to support repeatable, high-quality delivery.
• Modernize legacy IaC codebases into well-structured CDK modules using AI-assisted tooling across large-scale platform engineering organizations.
• Lead implementation of AWS services including compute, networking, storage, IAM, databases, and serverless.
• Troubleshoot issues during delivery and guide teams in operational best practices.
• Ensure performance, reliability, and security across deployed solutions.
• Develop and maintain CI/CD pipelines to support automated infrastructure delivery and continuous integration workflows.
• Work within large platform engineering organizations, managing infrastructure at scale with EKS and containerized workloads.
• Collaborate with stakeholders to gather requirements and validate solution designs.
• Act as a trusted advisor on cloud strategy, modernization options, and industry trends.
• Translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences.
• Mentor team members and contribute to internal learning initiatives.

Requirements:

• 5 or more years of experience in cloud architecture and implementation.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Strong TypeScript proficiency, with demonstrated experience using it in infrastructure or platform engineering contexts.
• Hands-on experience with AWS CDK and/or CloudFormation as primary IaC tools.
• Hands-on experience across AWS services such as EC2, S3, RDS, Lambda, IAM, VPC, and CloudFormation.
• AWS professional certifications such as Solutions Architect Professional or DevOps Engineer Professional.
• Experience with automation and IaC tools such as Terraform or scripting with Python.
• Understanding of security frameworks and compliance requirements including HIPAA or GDPR.
• Strong communication skills with the ability to effectively engage both business and technical stakeholders.
• Experience with Amazon EKS and container orchestration in production environments.
• Familiarity with AI-assisted development tooling applied to infrastructure or code migration tasks.
• Prior exposure to large-scale IaC refactoring or modernization initiatives.

Benefits:

• Shape real-world AI-driven projects across key industries
• Be part of a global team with equal opportunities for collaboration across continents and cultures
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards