Job Description:
Key Responsibilities:
Define and lead the implementation of comprehensive cloud architecture strategies on AWS, aligning with business goals.
Develop high-level designs for enterprise applications, integrating advanced AWS services like AI/ML, data analytics, and serverless technologies.
Establish architectural standards, frameworks, and governance models to ensure consistent and secure cloud deployments.
Lead the end-to-end design of complex cloud-native applications and infrastructure.
Oversee AWS environments, implementing robust security, monitoring, and automation frameworks.
Drive the adoption of microservices, containerization (Docker, Kubernetes/EKS), and serverless solutions (AWS Lambda, API Gateway).
Act as a trusted advisor to executive leadership on AWS best practices, emerging technologies, and industry trends.
Mentor and guide technical teams to elevate their AWS expertise.
Partner with cross-functional teams to align technical solutions with business priorities.
Define and implement security and compliance frameworks aligned with regulations (e.g., GDPR, HIPAA).
Optimize cloud infrastructure for cost efficiency, performance, and scalability using tools like AWS Cost Explorer and Trusted Advisor.
Ensure robust disaster recovery, high availability, and fault-tolerant architectures.
Evaluate and recommend new AWS services, tools, and methodologies to enhance business capabilities.
Qualifications:
10+ years of experience in cloud architecture, including 5+ years specifically in AWS.
Excellent communication skills with technical and non-technical stakeholders including the team, managers, business units, and stakeholders.
Extensive expertise in AWS core services (e.g., EC2, S3, RDS, DynamoDB, Lambda).
Proven experience designing large-scale, mission-critical systems on AWS.
Advanced proficiency with Infrastructure as Code (IaC) tools like CloudFormation, Terraform, or CDK.
Deep understanding of cloud security, IAM, and network architectures (e.g., VPC, Direct Connect).
Strong programming/scripting skills (e.g., Python, Java, Node.js).
Familiarity with DevOps practices, CI/CD pipelines, and tools like Jenkins, GitLab, or AWS CodePipeline.
Expertise in advanced analytics, AI/ML solutions, and Big Data services (e.g., AWS SageMaker, EMR, Redshift).
AWS Certified Solutions Architect Professional or equivalent advanced AWS certifications Preferred
Experience with hybrid or multi-cloud strategies Preferred