Posted on: 21/12/2025
Key Responsibilities :
- Design, deploy, and maintain scalable cloud infrastructure on AWS Manage containerized applications using Docker and Kubernetes
- Ensure system reliability, availability, and performance across environments Build, maintain, and optimize CI/CD pipelines using Jenkins
- Automate infrastructure provisioning and deployment processes
- Implement DevOps best practices to improve release efficiency and stability Set up and maintain monitoring, alerting, and dashboards using Grafana
- Monitor production systems and respond to incidents and outages Perform root cause analysis and implement preventive measures
- Work closely with backend engineers, QA teams, and ML teams to support deployments
- Enforce security best practices, access controls, and compliance standards
- Document system architecture, processes, and operational procedures
Technical Skills :
- Strong experience with AWS cloud services Hands-on experience with Kubernetes and Docker
- Experience with CI/CD tools such as Jenkins
- Proficiency in Python or scripting languages (Bash, Shell)
- Experience with monitoring and logging tools (Grafana)
- Familiarity with Infrastructure as Code (Terraform/CloudFormation is a plus)
- Experience 3+ years of industry experience as a DevOps Engineer
- Experience supporting large-scale, production-grade systems
- Strong understanding of software engineering and system design principles
Education :
- Bachelors or Masters degree in Computer Science, Engineering, or a related field
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Posted in
DevOps / SRE
Functional Area
ML / DL / AI Research
Job Code
1593201
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