NEED 15+ YEARS CANDIDATE

• Strong skills are desired in each of the following areas:
• Development: Experience programming with one or more languages: Python, Java, Groovy, Go, etc.
• IAC Tools for Platform Automation: Strong skills and experience in at least one: Ansible, and Terraform, AWS Cloud formation, CDK.
• Containers: Docker or other OCI-certified containers- is a Plus
• Container Orchestration Platform: Experience with Kubernetes, AWS EKS, AWS ECS is a plus.
• CNI Plugins: Calico, Flannel, Weave Net etc.
• Service Mesh: Istio, AWS App Mesh, OpenShift Service Mesh etc.
• Container Security Tools: Twistlock, Sysdig, Aqua etc. is a plus,
• Platform Monitoring, Observability, & Performance Tools: Nginx, New Relic, AppDynamics, Data Dog, Thanos, Jaeger, LogDNA, etc.
• DevOps Tools: Git/Repo, Crucible, Bitbucket, Jira, Ansible, Puppet, Jenkins, Circleci, Bamboo, Maven, Artifactory, Nexus etc.

• Understanding of Cloud Native Architecture
• Linux, Shell scripting, and general admin skills
• Network, Security, Plugins, & Storage Skills
• AWS skills: EC2, S3, EBS, EFS, IAM, VPC, Lambda, EKS, RedShift etc.
• Cloud and DevOps certifications, e.g., AWS

• [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), AI workloads, 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 and engineering of AWS solutions. Good knowledge of leveraging Amazon Kendra, 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)