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1450 matching jobs

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Weekday AI (YC W21) logo

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Tata Consultancy Services logo

AWS Devops

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Endava logo

DevOps Engineer

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Winning logo

DevOps Engineer

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Posted 1d

AWS Devops

Weekday AI (YC W21)

Hyderabad, Telangana, India

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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

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