About the Role
We are seeking an experienced AWS Cloud Developer with strong 3+ years of experience in cloud infrastructure, DevOps, automation, and AI-powered cloud solutions. The ideal candidate should have hands-on experience managing AWS production environments, automating infrastructure, implementing CI/CD pipelines, and leveraging AWS AI services to build scalable and secure cloud-native applications.
Key Responsibilities
Design, develop, deploy, and maintain scalable cloud-native applications on AWS.
Manage production environments, deployments, monitoring, troubleshooting, and incident resolution.
Build and maintain CI/CD pipelines to enable efficient software delivery.
Automate cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.
Monitor system health, optimize cloud performance, and ensure high availability.
Implement cloud security best practices, networking configurations, and access management.
Integrate AWS AI services and AI-powered solutions into cloud applications.
Collaborate with cross-functional teams to deliver secure, reliable, and scalable solutions.
Required Skills
AWS Cloud Services
Strong hands-on experience with AWS Compute Services – EC2, Lambda, Auto Scaling, Elastic Load Balancer (ELB).
Experience with AWS Storage & Database Services – S3, EBS, EFS, RDS.
Knowledge of AWS Network Services – VPC, Route 53, VPN, NAT Gateway, Internet Gateway, Security Groups, and Network ACLs.
Experience with AWS Systems Management & Monitoring – Systems Manager (SSM), CloudWatch, CloudTrail, AWS Config.
Hands-on experience with AWS Security Services – IAM, KMS, Secrets Manager, AWS WAF, AWS Shield, and GuardDuty.
Infrastructure & DevOps
Strong experience in cloud infrastructure automation using Terraform, CloudFormation, and Infrastructure as Code (IaC).
Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
Strong experience in development, production support, monitoring, and incident management.
Proficiency in Linux administration and Shell/Python scripting.
Hands-on experience with Docker and exposure to Kubernetes.
AI & Machine Learning
Hands-on experience with AWS AI Services, including Amazon Bedrock, SageMaker, Rekognition, Textract, Comprehend, and Lex.
Experience integrating OpenAI APIs and AI-assisted development tools into cloud applications.
Practical exposure to AI/ML-based application development, automation, and cloud AI solutions.
Good understanding of Machine Learning fundamentals, model deployment, and AI integration within AWS environments.
Cloud Operations
Strong knowledge of cloud security, networking, monitoring, troubleshooting, and performance optimization.
Experience managing high-availability production environments and cloud operations.
Preferred Skills
Exposure to Kubernetes and container orchestration.
Experience with AI-driven automation and cloud-native application development.
AWS DevOps and cloud migration experience is an added advantage.
Mandatory Certification
AWS Certified Solutions Architect – Associate (or an equivalent AWS Certifications).
Educational Qualification
B.Tech/M.Tech from CSE/IT/AI/ML only from good University/College
