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.
Requirements
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
