Sr. Cloud Engineer ( Azure)

United States Digital Space LLC; Karnataka; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

United States Digital Space LLC is seeking a Lead I - ML Engineering to drive end-to-end automation for model deployment and operations across Azure, Databricks and Kubernetes platforms.

You will build and maintain CI/CD/CT pipelines, deploy Databricks Jobs and MLflow models, manage AKS/ARO infrastructure with Terraform, and collaborate with ML engineers, data engineers and application teams to ensure secure, scalable ML platforms.

Qualifications

• Strong hands-on experience with Azure, AKS, ARO.
• Solid experience with MLflow on Databricks.
• Kubernetes-based model deployments.
• Proficiency in Python and Bash / PowerShell.
• Good understanding of cloud security, networking, and distributed systems.

Responsibilities

• Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps / GitHub Actions/Jenkins.
• Develop and manage deployment workflows for Databricks Jobs and MLflow models.
• Automate infrastructure and deployments on AKS/ARO with Terraform and GitOps practices.
• Manage and optimize Databricks workspaces and AKS clusters.
• Implement monitoring, logging, and governance for ML systems and platform reliability.
• Collaborate with ML engineers, data engineers, and application teams.

Skills

Azure

AKS

ARO

Databricks

MLflow

Python

Bash/PowerShell

Tools

Terraform

Job description

Role description

Lead I - ML Engineering

Who we are:

At the company, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at .

You are:

We are looking for a seasoned cloud engineer to support ML development teams and drive end to end automation for model deployment and operations across Azure, Databricks, and Kubernetes platforms

The Opportunity:

• Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps / GitHub Actions/Jenkins

• Develop and manage deployment workflows for: o Databricks Jobs o MLflow models

• Microservices running on AKS / ARO Automate infrastructure using Terraform, scripting, and GitOps practices
• Manage and optimize Databricks workspaces o AKS clusters
• Networking and model serving environments Implement monitoring, logging, and ing for ML systems and platform reliability
• Collaborate closely with ML engineers, data engineers, and application teams
• Ensure security best practices, governance, and cost optimization across MLOps pipelines

What are we Looking for:

• Strong hands on experience with Azure, AKS, ARO

• Databricks Solid experience with MLflow

• Kubernetes based model deployments
• Proficiency in Python and Bash / PowerShell
• Good understanding of cloud security, networking, and distributed systems

What we believe

We’re proud to embrace the same values that have shaped the company since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

the company is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

the company reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of the company.

• Comply with all Company policies and procedures

Skills

Azure Kubernetes Service, Python, MLOps, MLflow

About the company

the company is a global digital transformation solutions provider. For more than 20 years, the company has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, the company partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, the company embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, the company builds for boundless impact—touching billions of lives in the process.