Cloud Engineer

🚀 We're Hiring: AWS Cloud Engineer

Location: Pune (Work from Office)

Experience: 0–4 Years

Employment Type: Full-Time

About the Role We are looking for a highly motivated and experienced AWS Cloud Engineer to join our growing team. The ideal candidate should have hands-on experience in designing, implementing, and managing secure, scalable, and production-ready AWS cloud infrastructure. The candidate should possess strong expertise in AWS, DevOps, Cloud Migration, and Infrastructure Automation, along with exposure to AI/ML services on AWS. If you're passionate about building cloud-native solutions, automating infrastructure, and working on cutting-edge AI technologies such as Amazon Bedrock and Amazon SageMaker, we'd love to hear from you.

Key Responsibilities

• Design, deploy, and manage secure, scalable, and highly available AWS cloud infrastructure from scratch to production.
• Build and maintain enterprise-grade AWS environments, including networking, compute, storage, security, and monitoring.
• Implement Infrastructure as Code (IaC) using Terraform and AWS CloudFormation.
• Design, build, and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline.
• Deploy, manage, and troubleshoot containerized applications using Docker and Kubernetes (Amazon EKS).
• Configure and manage AWS services such as EC2, VPC, IAM, S3, RDS, Aurora, ALB, NLB, Route 53, CloudFront, Auto Scaling, ElastiCache, CloudWatch, and CloudTrail.
• Plan and execute cloud migration projects from on-premises, VMware, Azure, or GCP to AWS.
• Apply AWS migration strategies using the 6Rs/7Rs framework and AWS migration services such as AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS Migration Hub, and AWS DataSync.
• Implement AWS security best practices, including IAM, KMS, Secrets Manager, AWS WAF, GuardDuty, Security Hub, and AWS Config.
• Monitor production environments, troubleshoot infrastructure issues, and optimize performance, reliability, and cost.
• Collaborate with development teams to automate deployments and improve application availability.
• Support AI/ML and Generative AI initiatives using Amazon Bedrock, Amazon SageMaker, Bedrock Knowledge Bases, and AI Agents.
• Prepare technical documentation, architecture diagrams, and deployment runbooks.

Qualifications

• B.E./B.Tech/MCA/BCA/B.Sc. (Computer Science, Information Technology, or a related field).
• AWS Certified Solutions Architect – Associate/Professional or AWS Certified DevOps Engineer – Professional certification is an added advantage.
• Terraform, Kubernetes (CKA), or AI/ML certifications are an added advantage.

Preferred Skills

• Strong understanding of AWS Well-Architected Framework.
• Hands-on experience with production deployments and cloud security.
• Excellent troubleshooting and problem-solving skills.
• Experience working in Agile environments.
• Strong communication, documentation, and collaboration skills.
• Ability to manage multiple projects and deliver within timelines.
• Passion for learning emerging cloud and AI technologies.