Cloud Architect

2 weeks ago

Bengaluru Pune, India Advance Career Solutions Private Limited Full time

Job Description Key Responsibilities - Design, implement, and optimize cloud-native solutions for the Connect Ecosystem. - Work extensively with AWS services: Lambda, Cognito, API Gateway, Step Functions, S3, ECS/EKS, CloudFormation, IAM. - Deploy and maintain workloads on GCP: Cloud Functions, Pub/Sub, Cloud Run, BigQuery, Cloud Storage. - Build event-driven, and microservices architectures. - Implement robust authentication and authorization flows (Cognito, OAuth2, IAM, SAML). - Ensure high availability, scalability, fault tolerance, and cost optimization of cloud workloads. - Contribute to CI/CD automation and Infrastructure as Code (Terraform, CloudFormation, CDK). - Collaborate with product and engineering teams to deliver production-ready solutions. Required Skills & Expertise - Hands-on cloud architecture and engineering, focused on building and optimizing solutions rather than managing teams. - Must-have experience with AWS (Lambda, Cognito, API Gateway, Step Functions, S3,) and GCP (Cloud Functions, Pub/Sub, Cloud Run, BigQuery). - Strong experience with serverless, event-driven, and microservices-based systems. - Proficiency in Infrastructure as Code (IaC) and automation (Terraform, CloudFormation, CDK, CI/CD pipelines). - Deep knowledge of identity management, authentication, and authorization protocols (Cognito, OAuth2, SAML, IAM). - Experience migrating legacy workloads to cloud or optimizing existing cloud solutions for performance, reliability, and cost efficiency. - Exposure to multi-cloud environments - Strong skills in monitoring, logging, observability, and troubleshooting (CloudWatch, Stackdriver, Prometheus, Grafana). - At least one cloud certification is mandatory (AWS Certified Solutions Architect, AWS Developer, GCP Professional Cloud Architect, or equivalent). - Excellent problem-solving, debugging, and optimization capabilities. Nice-to-Have - Additional cloud certifications (AWS, GCP, Azure). - Experience with messaging/streaming platforms (Kafka, EventBridge, MQTT). - Familiarity with data pipelines, analytics, or ML integrations.

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