Cloud Architect

Key Responsibilities:

Lead the design and implementation of cloud infrastructure on AWS and Google Cloud Platform with a focus on compute, storage, networking, and AI/ML services.

Architect and implement scalable, resilient, and secure cloud solutions aligned with business requirements.

Provide technical leadership and mentorship to engineers, ensuring best practices in architecture, development, and deployment.

Drive automation and CI/CD pipelines using DevOps tools such as Kubernetes, Jenkins, Docker, Git, Prometheus, and Grafana.

Collaborate with cross-functional teams including data scientists, software engineers, and product owners to incorporate AI/ML capabilities into cloud solutions.

Monitor, troubleshoot, and optimize cloud infrastructure performance and security.

Define and enforce cloud governance, cost management, and operational standards.

Lead code reviews, design discussions, and technology evaluations.

Stay current with emerging cloud technologies, identify opportunities for innovation, and provide strategic recommendations.

Team management and co-ordination with Client , vendor management.

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Required Skills & Experience:

12-15 years of overall IT experience with at least 6-8 years in cloud architecture and implementation.

Expertise in AWS and GCP services including but not limited to:

o Compute: EC2, Lambda, GCE, Google Cloud Functions

o Storage: S3, EBS, Google Cloud Storage, Cloud SQL, BigQuery

o Networking: VPC, Subnets, Load Balancers, Cloud CDN, VPN, Firewall rules

o AI/ML: SageMaker, Google AI Platform, TensorFlow integration, AutoML

Strong hands-on experience with container orchestration and DevOps tools:

o Kubernetes, Docker, Jenkins, Git, Prometheus, Grafana

Proficient in scripting and automation using Python, Bash, or similar languages.

Solid understanding of CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and monitoring tools.

Experience in microservices architecture, networking concepts, and security best practices.

Proven track record of leading and mentoring technical teams in an Agile environment.

Excellent communication, problem-solving, team management and stakeholder management skills.

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Preferred Qualifications:

Relevant certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, Certified Kubernetes Administrator (CKA) would be added advantage and will be preferred .

Background in machine learning model deployment and monitoring on cloud platforms.

Experience with security frameworks and compliance standards (e.g., ISO, SOC2, GDPR).

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What We Offer:

Opportunity to work on cutting-edge cloud and AI/ML technologies.

Collaborative environment with talented technologists.

Competitive compensation and benefits package.

Opportunities for professional growth and certifications.