Senior DevOps Engineer – MLOps Focus

This is a fully remote position, open to applicants in Pakistan.

📋 Description

• Design and maintain secure and scalable cloud infrastructure using Azure and GCP.

• Develop and enhance CI/CD pipelines along with deployment workflows.

• Implement and manage Infrastructure as Code (IaC) using Terraform or similar tools.

• Deploy and operate machine learning pipelines within production settings.

• Manage and scale multi-cluster GPU environments tailored for AI workloads.

• Establish monitoring, logging, and alerting systems to ensure system reliability.

• Apply best practices for cloud security across infrastructure and access layers.

• Diagnose and resolve system, deployment, and performance challenges.

• Provide direct IT support (user access, devices, internal systems) to facilitate smooth daily operations.

• Collaborate with engineering teams to enhance scalability, performance, and automation.

⛳️ Requirements

• Over 4 years of experience in DevOps / SRE / Infrastructure Engineering roles.

• Extensive experience with Azure and Google Cloud Platform (GCP).

• Practical experience in building and managing CI/CD pipelines.

• Strong proficiency in Infrastructure as Code (Terraform, Pulumi, etc.).

• Experience in managing Kubernetes environments and GPU workloads.

• Proven track record in deploying machine learning models or MLOps pipelines.

• In-depth understanding of cloud security, networking, and system reliability.

• Comfortable managing IT support tasks alongside core DevOps responsibilities.

• Strong problem-solving skills with the capability to work independently.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible work hours and remote working options.

• Opportunities for professional development and training.

• Health and wellness programs.

• Collaborative and inclusive work culture.