AWS Developer

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Associate level Min Experience: 2 years Location: India JobType: full-time About The Role We are looking for a proactive and skilled AWS Developer to join our dynamic team focused on cloud infrastructure and AI-driven solutions. In this role, you will architect, deploy, and maintain scalable and secure cloud environments on AWS, supporting the development and operationalization of machine learning models and AI applications. You will collaborate closely with data scientists, developers, and DevOps teams to ensure seamless integration and robust performance of AI workloads in the cloud. What You’ll Do Architect and build highly available, fault-tolerant, and scalable AWS infrastructure tailored for AI and machine learning workloads. Deploy, manage, and monitor AI/ML models in production using AWS services such as SageMaker, Lambda, EC2, ECS, and EKS. Partner with AI and ML teams to translate model requirements into effective cloud architectures and operational workflows. Automate infrastructure deployment and management through Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools. Implement and optimize CI/CD pipelines to streamline model training, validation, and deployment processes. Monitor cloud environments and AI workloads proactively to identify and resolve performance bottlenecks or security vulnerabilities. Enforce best practices for data security, compliance, and governance in handling AI datasets and inference endpoints. Stay updated with AWS advancements and emerging tools to continuously enhance AI infrastructure capabilities. Support troubleshooting efforts, perform root cause analysis, and document solutions to maintain high system reliability. Who You Are 2+ years of hands-on experience working with AWS cloud services, especially in deploying and managing AI/ML workloads. Strong knowledge of AWS core services including S3, EC2, Lambda, SageMaker, IAM, CloudWatch, ECR, ECS, EKS, and CloudFormation. Experience deploying machine learning models into production environments and maintaining their lifecycle. Proficient in scripting and programming languages such as Python, Bash, or Node.js for automation and orchestration tasks. Skilled with containerization and orchestration tools such as Docker and Kubernetes (EKS). Familiar with monitoring and alerting solutions like AWS CloudWatch, Prometheus, or Grafana. Understanding of CI/CD methodologies and tools like Jenkins, GitHub Actions, or AWS CodePipeline. Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Bonus Points For AWS certifications such as AWS Certified Machine Learning – Specialty or AWS Solutions Architect. Hands-on experience with MLOps frameworks (Kubeflow, MLflow) and model version control. Familiarity with big data processing tools like Apache Spark, AWS Glue, or Redshift. Experience working in Agile or Scrum-based development environments. Show more Show less