SYSTEM ENGINEER

Qualifications:
• 10+ years of overall experience in IT including hands-on Development and Systems engineering background.
• Bachelor''s degree in computer science, Information Technology, or related field; master''s degree preferred.
• [5-10] years of experience in cloud engineering and automation, with a focus on AWS cloud services.
• Minimum of 8-10 years of IT experience of which at least 5 years must be in AWS Cloud Automation and Administration.
• 3-5 years of experience in a Site Reliability Engineering role
• 3+ years of experience with implementation of Containerization (Kubernetes), Cloud technologies (AWS, Azure, or Google, etc.), DevOps tool chain (Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.)
• Must be well versed in Terraform automation, Ansible playbooks, and Python code.
• In-depth knowledge of AWS services and solutions, including but not limited to EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and CloudWatch.
• Strong understanding of cloud architecture principles, design patterns, and best practices for building scalable, resilient, and secure cloud environments.
• Proficiency in infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation.
• Exposure to Artificial intelligence patterns, Machine Learning and engineering of AWS solutions. Good knowledge of leveraging Amazon Kendra, SageMaker, Lambda, Bedrock, Rag models etc.
• Excellent communication, collaboration, and leadership skills, with the ability to effectively interact with technical and non-technical stakeholders.
• Minimum of 1 AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer is required.
• Experience working in an Agile/Scrum environment preferred.
• Solid understanding of Software coding techniques and experience with
• Hands-on experience with CI/CD pipelines, containerization technologies (e.g., Docker, Kubernetes), and serverless computing is a plus.
• full spectrum of Software engineering (Build, Integration, Test, Releasing and Deployment) leveraging Python.
• Experience in Developing and/or challenging engineering solutions/practices and collaborating with peers within and outside of immediate team, including customers (Developers, Architects, and Engineers)