AWS Devops

This role is for one of the Weekday's clients

Min Experience: 5 years

Location: Hyderabad

JobType: full-time

We’re looking for an experienced and detail-oriented AWS DevOps Engineer to join our team and lead the deployment and optimization of scalable infrastructure and AI/ML solutions in a cloud-native environment. The ideal candidate will have a strong background in AWS services, DevOps practices, and cloud-based AI/ML deployments.

Key Responsibilities:

• Design, implement, and manage cloud infrastructure using a broad range of AWS services such as EC2, Lambda, API Gateway, EKS, Auto Scaling, S3, RDS, CloudFront, VPC, CloudWatch, and more.
• Lead deployment and lifecycle management of AI/ML models using AWS Bedrock, SageMaker, and other relevant tools.
• Apply DevOps best practices including CI/CD pipelines (e.g., Jenkins) and infrastructure as code.
• Monitor infrastructure and optimize performance, availability, and cost efficiency using tools like ECS and CloudWatch.
• Implement robust logging and monitoring solutions to ensure traceability and operational insight for deployed models.
• Manage and preprocess data to ensure high-quality inputs for machine learning workflows.
• Perform data validation and cleansing to uphold data integrity across pipelines.
• Ensure all systems comply with security and data protection regulations; proactively manage risks and vulnerabilities.

Ideal Candidate Will Have:

• Minimum 5 years of hands-on experience in DevOps, SysOps, and cloud architecture within AWS environments.
• Deep expertise in AWS services and infrastructure management.
• Proven experience with CI/CD tools and methodologies.
• AWS Certification (Associate or Professional level) is required.
• Strong analytical and troubleshooting skills with a high attention to detail.
• Excellent communication and collaboration skills in cross-functional team environments.
• Familiarity with cost and performance optimization for AI/ML workloads on AWS.
• Strong grasp of data security, compliance, and governance in cloud environments.

Key Skills:
AWS DevOps, AWS Bedrock, SageMaker, CI/CD, Jenkins, Infrastructure as Code, AI/ML Deployment, Cloud Monitoring, Data Management, Security Compliance