AI Developer

• We are seeking an experienced Senior Cloud Engineer with strong expertise in AWS, serverless technologies, containerization, and infrastructure as code.
• The ideal candidate will have deep knowledge of AWS LamClienta, Step Functions, API Gateway, and other AWS services, as well as experience in CI/CD, security best practices, and cloud-native monitoring.

Requirement/Must Have:

• 5+ years of experience in software development, particularly with Python and/or Node.js.
• Expertise in designing and implementing REST APIs.
• Deep experience with AWS serverless technologies such as Lambda, Step Functions, API Gateway, DynamoDB, and S3.
• Hands-on experience with Docker and Kubernetes, including EKS or ECS, Candidatelm, K8s manifests, and cluster autoscaling.
• Strong expertise in infrastructure as code using Terraform, AWS CDK, or CloudFormation.
• Solid understanding of security best practices including VPC networking, PrivateLink, security groups, WAF, Secrets Candidateager, and IAM policies.
• Proficiency with monitoring and observability tools such as CloudWatch, Kibana, Prometheus, and Grafana.
• Experience setting up CI/CD pipelines using GitHub Actions, Azure DevOps, or AWS CodePipeline.
• Ability to collaboXX on prompt engineering for AI/ML applications and assist with iterative prompt tuning.

Experience:

• Experience with AWS Lambda, Step Functions, API Gateway, DynamoDB/S3, IAM, and other AWS serverless services.
• Strong familiarity with containerization (Docker, Kubernetes) and infrastructure as code tools like Terraform or AWS CDK.
• Experience in designing, deploying, and maintaining secure cloud-based infrastructures.
• Proficient in monitoring distributed, event-driven systems with CloudWatch, Kibana, and Prometheus.
• Experience in setting up CI/CD pipelines for automated testing and deployments.

Responsibilities or Duties:

• XXgn and implement cloud-based serverless solutions using AWS services.
• Candidateage containerized applications using Docker and Kubernetes (EKS or ECS).
• Define and deploy AWS infrastructure using Terraform or AWS CDK.
• CollaboXX with cross-functional teams to implement secure, scalable cloud architectures.
• Troubleshoot and resolve issues in distributed, event-driven systems.
• Candidatetor junior engineers and guide best practices for cloud-native deployments.
• Implement security measures for cloud infrastructure and data protection.
• Set up and manage CI/CD pipelines for continuous testing and deployment.
• CollaboXX on AI/ML requirements, and assist with tool definitions and prompt tuning.

Should Have:

• Experience working with Amazon Bedrock, fine-tuning, or deploying custom LLMs.
• Familiarity with AWS AI services such as OpenSearch, SageMaker, and Kendra.
• Background in event-driven architecture using EventBridge, SNS, or SQS.
• Knowledge of regulatory frameworks (GDPR, HIPAA) and compliant data flows.
• Exposure to service mesh technologies like AWS App Mesh or Istio.
• Experience in managing multi-account AWS Organizations with cross-account IAM and billing.

Skills:

• Expertise in AWS serverless architecture (Lambda, Step Functions, API Gateway, DynamoDB, S3).
• Proficiency in Python, Node.js, and REST API development.
• Experience with Docker, Kubernetes (EKS, ECS), Candidatelm, and K8s manifests.
• Strong knowledge of security and IAM best practices.
• Proficient in setting up CI/CD pipelines and using monitoring tools.
• Excellent collaboration and communication skills.

Qualification or Education:

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience.
• 5+ years of experience in cloud engineering, software development, and AWS technologies.