Hybrid Lead Assistant Manager

Posted 2 minutes ago

Apply now

About the role

  • AI Engineer developing scalable AI and data platforms on Microsoft Azure. Collaborating closely with application, data, and machine learning teams to ensure efficient deployment and monitoring.

Responsibilities

  • Build, manage, and optimize CI/CD pipelines using Azure DevOps and GitHub Actions for AI, data, and application workloads.
  • Deploy and operate AI-enabled and data platforms on Azure Kubernetes Service (AKS) using Docker and Helm.
  • Provision and manage Azure infrastructure including compute, networking, storage, and security services.
  • Enable MLOps and data pipelines by supporting ETL workflows using Azure Data Factory and Databricks.
  • Implement secure configuration and secrets management using Azure Key Vault.
  • Monitor platform health, performance, and availability using Azure Monitor and Log Analytics.
  • Conduct performance and load testing using JMeter / BlazeMeter and drive optimization actions.
  • Collaborate with ML engineers to support model packaging, versioning, deployment, and monitoring in production.
  • Support Agile delivery through automation, release coordination, and continuous improvement.
  • Track and optimize cloud infrastructure costs across environments.

Requirements

  • 3 to 6 years of relevant experience in AI platform enablement, DevOps, Cloud Engineering, or related roles
  • Proven experience supporting production workloads on Microsoft Azure
  • Hands-on exposure to CI/CD automation, container platforms, and cloud-native architectures
  • Bachelor's degree required (Engineering, Computer Science, or related discipline preferred)
  • Technical Skills
  • Azure DevOps Pipelines and GitHub Actions
  • YAML-based CI/CD automation
  • Azure Kubernetes Service (AKS)
  • Docker and Helm
  • Azure App Service, Virtual Machines, VNet
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure SQL Database
  • Azure Container Registry (ACR)
  • Azure Key Vault
  • Azure Data Factory and Databricks
  • Azure Monitor and Log Analytics
  • Bash, PowerShell, Python (basic)
  • Professional Skills
  • Strong problem-solving and analytical mindset
  • Excellent collaboration and stakeholder communication skills
  • Experience working in Agile / Scrum teams
  • High ownership, accountability, and execution focus
  • Ability to work across DevOps, data, and AI engineering domains
  • Continuous improvement and automation-first mindset

Job title

Lead Assistant Manager

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job