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NorthBay Solutions

Lead DevOps Engineer (Azure, Terraform)

full-time•Karachi Division

Summary

Location

Karachi Division

Type

full-time

Experience

5-10 years

Company links

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About this role

Job Title: Lead DevOps Engineer (Azure, Terraform)
Employment Type: Full-time Hybrid (Pakistan) 

About the Role: 

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions. 

Key Responsibilities: 

● Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps 

● Develop and maintain Infrastructure-as-Code using Terraform 

● Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters 

● Ensure cloud infrastructure is optimized, secure, and monitored effectively 

● Collaborate with data science teams to support ML model deployment and operationalization 

● Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow) 

● Build and maintain automated ML pipelines to streamline model lifecycle management 

Required Skills: 

● 5 to 9 years of experience in DevOps and/or MLOps roles 

● Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps 

● Strong expertise in Terraform, including managing and scaling infrastructure across large environments 

● Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring 

● Strong understanding of containerization technologies (Docker) and microservices architecture 

● Solid grasp of cloud networking, security best practices, and observability 

● Scripting proficiency in Bash and Python 

Preferred Skills: 

● Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines 

● Knowledge of model performance monitoring and ML system reliability 

● Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP 

What you'll do

  • Design and manage CI/CD pipelines and develop Infrastructure-as-Code using Terraform. Collaborate with data science teams to support ML model deployment and implement MLOps best practices.

About NorthBay Solutions

NorthBay is AWS Premier Consulting Partner and also partnered with AI21 Labs, VMware, CloudRail and SAP in support of our Customers’ AWS cloud journeys. NorthBay helps companies transform their business by unlocking the value of their data in the cloud so they can gain agility and speed in their decision making and innovation. Our specialities include: - Generative AI - Managed Service Provider - Cloud Migration and Modernization Services - Cloud Application Development - Data Lake/Data Warehouse - Machine Learning & AI - DevOps Enablement - Staff Augmentation - Performance & Optimization.

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Frequently Asked Questions

What does a Lead DevOps Engineer (Azure, Terraform) do at NorthBay Solutions?

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As a Lead DevOps Engineer (Azure, Terraform) at NorthBay Solutions, you will: design and manage CI/CD pipelines and develop Infrastructure-as-Code using Terraform. Collaborate with data science teams to support ML model deployment and implement MLOps best practices..

Is the Lead DevOps Engineer (Azure, Terraform) position at NorthBay Solutions remote?

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The Lead DevOps Engineer (Azure, Terraform) position at NorthBay Solutions is based in Karachi Division, Sindh, Pakistan. Contact the company through Clera for specific work arrangement details.

How do I apply for the Lead DevOps Engineer (Azure, Terraform) position at NorthBay Solutions?

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You can apply for the Lead DevOps Engineer (Azure, Terraform) position at NorthBay Solutionsdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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