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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.

More Info

Job Type:
Employment Type:
Open to candidates from:
Indian

Job ID: 133345185

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