Dev Ops Engineers

3 weeks ago


Bengaluru, Karnataka, India Creeno Solutions Private Limited Full time
Job Description

Creeno has been mandated to hire qualified Dev Ops Engineers to be placed with one of the growing Internet/eCommerce firms based out of Bangalore. If working for eCommerce industry appeals relevant to you and if you are passionate about the same, here is an opportunity to grab. We are excited to interact with the candidates who are matched with the following skills and capabilities. Interested candidates please embark with your latest updated resume for an immediate connect.

Title: Dev Ops Engineers

Experience: 5+ yrs

Qualification: B.Tech / B.E /MCA

Job Type: Permanent, Day Shift & Work From Office

Job Location: Bangalore

Responsibilities:

Infrastructure Management: Design, deploy, and manage scalable infrastructure onAWS, including services like EBS (Elastic Block Store) and GPU servers for AI/ML workloads.

Kubernetes & EKS: Set up and maintain Kubernetes clusters using Amazon EKS, ensuring high availability and optimal performance.

CI/CD Pipelines: Develop and manage continuous integration and continuous deployment pipelines to streamline application updates and deployments.

Microservices Architecture: Support and maintain a microservices-based architecture, ensuring seamless integration and communication between services.

Containerization: Utilize Docker and other container technologies to package and deploy applications consistently across environments.

Monitoring & Logging: Implement monitoring and logging solutions to track system performance, identify issues, and ensure reliability.

Security: Ensure the security of the infrastructure by implementing best practices and managing access controls.

Collaboration: Work closely with AI/ML engineers, software developers, and other team members to support their infrastructure and deployment needs.

Automation: Automate repetitive tasks to improve efficiency and reduce the potential for human error.

Troubleshooting: Diagnose and resolve infrastructure and deployment issues promptly to minimize downtime.

Qualifying Criteria:

Experience: 5+ years of experience in DevOps or a similar role, preferably within AI/ML or technology-focused companies.

AWS Expertise: Deep understanding of AWS services, including EC2, EBS, S3, RDS, and especially EKS (Elastic Kubernetes Service).

Kubernetes: Hands-on experience with Kubernetes for container orchestration and management.

Containerization: Proficiency with Docker and container-based deployment strategies.

Microservices: Experience working with microservices architecture and managing inter-service communication.

CI/CD Tools: Familiarity with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar.

Scripting: Strong scripting skills in languages like Python, Bash, or similar for automation tasks.

GPU Servers: Experience managing and optimizing GPU servers for AI/ML workloads is highly desirable.

Monitoring Tools: Knowledge of monitoring and logging tools like Prometheus, Grafana, ELK Stack, or similar.

Problem-Solving: Excellent problem-solving skills and the ability to troubleshoot complex infrastructure issues.

Team Player: Strong communication skills and the ability to work effectively within a collaborative team environment.

Preferred Qualifications:

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Certifications: AWS Certified DevOps Engineer, Kubernetes Certified Administrator, or similar certifications.

Automation Tools: Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

Security: Knowledge of security best practices and experience implementing security measures in cloud environments.

AI/ML Exposure: Previous experience working in AI/ML projects or with machine learning frameworks.

You may write to : [Confidential Information]

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