AWS Cloud Platform Engineer Lead

Responsibilities:

• Lead identification of program objectives and technical strategies; develop System Engineering Management Plans, Work Breakdown Structures, schedules, and performance metrics.
• Design and implement risk and opportunity management plans, including mitigation strategies and disaster recovery planning.
• Plan, design, and oversee system engineering projects and cloud platform initiatives.
• Lead and manage systems engineering efforts across cross-functional teams.
• Develop preventive techniques to avoid system failures and troubleshoot incidents to restore services efficiently.
• Establish and maintain standard operating procedures to ensure service quality and consistency.
• Gather and manage stakeholder requirements; perform functional analysis to meet business objectives.
• Collaborate with network, development, and engineering teams to ensure reliable and scalable systems.
• Install, configure, upgrade, and maintain cloud and system environments, including user management and networking configurations.
• Mentor and guide junior and senior team members.
• Stay current with emerging technologies, industry trends, and best practices through continuous learning and professional development.
• Communicate architectural decisions, trade-offs, and long-term strategies effectively to stakeholders.
• Support full lifecycle of services including design, deployment, and operations.
• Enhance developer experience through automation and cloud-native solutions.
• Provide system design consulting, capacity planning, and launch support.
• Troubleshoot complex technical issues and engage with customers for resolution.
• Lead cloud transformation and migration initiatives from legacy systems to modern architectures.
• Implement cloud-native architectures including microservices, containers, and service mesh.
• Ensure system scalability, reliability, and performance through automation and continuous improvement.
• Monitor enterprise systems to identify trends, issues, and improvement opportunities.
• Automate processes for patching, upgrades, and infrastructure maintenance.
• Make data-driven decisions to improve delivery efficiency and system performance.

• Bachelor s degree in Computer Science, Information Technology, or related field (or equivalent experience).
• 10+ years of overall IT experience with strong systems engineering background.
• Minimum 5+ years of hands-on experience in AWS Cloud Platform engineering and administration.
• 3 5 years of experience in Site Reliability Engineering (SRE).
• Strong experience with AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, CloudWatch, and EKS.
• Hands-on expertise in Infrastructure as Code using Terraform, AWS CloudFormation, or CDK.
• Experience with automation tools such as Ansible and scripting using Python and Bash.
• Strong knowledge of DevOps practices, CI/CD pipelines, and automated provisioning.
• Experience with containerization technologies such as Docker and Kubernetes.
• Solid understanding of cloud architecture, design patterns, and best practices.
• Experience with Linux system administration.
• Strong problem-solving, troubleshooting, and analytical skills.
• Excellent communication and collaboration skills.

• Master s degree in a related field.
• AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer).
• Experience with enterprise cloud transformation and migration projects.
• Familiarity with AI/ML services and patterns on AWS (e.g., Amazon Bedrock, Kendra, RAG models).
• Experience with DevOps toolchains such as Jenkins, Bitbucket, Artifactory, and Jira.
• Knowledge of service mesh, container security tools, and cloud-native monitoring solutions.
• Experience working in Agile/Scrum environments.

• AWS Cloud Architecture & Engineering.
• DevOps & Automation (Terraform, Ansible, CI/CD).
• Containerization & Orchestration (Docker, Kubernetes, EKS).
• SRE & Reliability Engineering.
• Python & Scripting.
• Cloud Security & Compliance.
• Microservices & Cloud-Native Design.
• Monitoring, Observability & Performance Optimization.