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AWS DevOps Engineer

4 months ago

Bangalore, India Evolv109 Full time

Job Summary :

We are seeking an experienced AWS DevOps Engineer with a strong proficiency in Python and specialized knowledge in GPU support to join our dynamic team.

The ideal candidate will possess a solid understanding of cloud computing, infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, and expertise in leveraging GPU technology for enhanced computational capabilities.

As an AWS DevOps Engineer, you will play a crucial role in designing, implementing, and maintaining scalable and secure cloud infrastructure with a focus on GPU-accelerated workloads to support our applications and services.

Responsibilities :

- Cloud Infrastructure Management: Design, deploy, and manage scalable, highly available, and fault-tolerant AWS infrastructure. Utilize AWS services such as EC2, S3, RDS, Lambda, and others to optimize system architecture.

- Automation and Scripting: Develop automation scripts and tools using Python to streamline deployment and operational tasks. Implement Infrastructure as Code (IaC) using tools like AWS Cloud Formation or Terraform.

- CI/CD Pipeline Implementation: Build and maintain CI/CD pipelines for applications, ensuring efficient and reliable delivery processes. Implement automated testing and deployment strategies to accelerate the release cycle.

- Monitoring and Logging: Set up monitoring and logging solutions to ensure the health and performance of the infrastructure. Respond promptly to incidents, troubleshoot issues, and implement solutions.

- Security and Compliance: Implement security best practices in the cloud environment, including access control and data encryption. Ensure compliance with industry standards and regulatory requirements.

- Collaboration and Communication: Collaborate with cross-functional teams to understand application requirements and provide scalable infrastructure solutions. Communicate effectively with team members and stakeholders regarding system status, project progress, and issue resolution.

- Documentation : Maintain clear and concise documentation for infrastructure configurations, processes, and procedures.

Python Scripting :

- Strong proficiency in Python programming language.

- Experience in developing Python scripts for automation and orchestration tasks in a DevOps context.

- Knowledge of Python libraries and frameworks relevant to infrastructure as code (IaC) and automation.

Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field

- Proven experience as a DevOps Engineer in an AWS environment.

- Strong proficiency in Python for automation and scripting.

- Solid understanding of cloud computing concepts and AWS services.

- Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.

- Familiarity with version control systems, preferably Git.

- Knowledge of continuous integration tools (e.g., Jenkins, CircleCI) and configuration management tools (e. g., Ansible).

- Excellent problem-solving and troubleshooting skills.

- Strong communication and collaboration skills.

Preferences :

- Experience / Knowledge on below GPU Acceleration & deployment topics : GPU acceleration and parallel computing, especially with NVIDIA GPUs.

- Knowledge of GPU programming frameworks such as CUDA or OpenCL.

- Familiarity with GPU-based libraries for machine learning, such as cuDNN and cuBLAS deploying and managing GPU-accelerated machine learning models.

- Proficiency in using deep learning frameworks like Tensor Flow or PyTorch on GPU infrastructure.

- Understanding of distributed training with GPUs for large-scale machine learning models

(ref:hirist.tech)