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
