Seeking experienced and dynamic AWS Cloud Platform Engineer to provide hands-on technical expertise for supporting our AWS footprint, including Security and Guardrails.
As an AWS Cloud Platform Engineer, you will be responsible for designing, implementing, and integrating our cloud platform resources on Amazon Web Services (AWS). You will collaborate with a team of talented cloud engineers and technology teams to deliver scalable, reliable, and secure cloud solutions that support our company''s growth and innovation
Licenses/Certifications - AWS Cloud certifications, minimum of One is required.
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)
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