Lead Engineer - Azure Data

Role: Lead Engineer - Azure Data

Location: India, Remote

Experience: 8+ Years

Algoworks

www.algoworks.com

About the company

Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.

For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.

At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.

Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.

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Role overview

We are seeking an experienced Senior Azure DevOps Engineer with a strong software development background who has successfully designed, automated and managed enterprise-scale Azure cloud infrastructure. The ideal candidate should have hands-on experience deploying and managing production workloads in Microsoft Azure, implementing Infrastructure as Code (IaC), building CI/CD pipelines and administering Kubernetes (AKS).

This is not a traditional infrastructure support or system administrator role. We are specifically looking for engineers who have evolved from a software development background into DevOps and can write production-quality automation and infrastructure code.

Key responsibilities:

Design, build and manage Azure cloud infrastructure for production environments.

Implement Infrastructure as Code (IaC) using Bicep or ARM Templates.

Deploy and maintain highly available applications on Azure Kubernetes Service (AKS).

Design secure Azure networking architectures including:

Private Link

Private Endpoints

Private DNS Zones

Virtual Networks

NSGs

Load Balancers

Application Gateway

Build and maintain CI/CD pipelines using GitHub Actions or similar DevOps platforms.

Automate deployments, monitoring, scaling and infrastructure provisioning.

Collaborate closely with development teams to improve deployment strategies.

Develop automation scripts and tooling using Python or another modern programming language.

Implement cloud security best practices across Azure environments.

Troubleshoot production deployment and infrastructure issues.

Required experience:

8+ years overall IT experience.

4+ years working on Microsoft Azure.

3+ years managing AKS production environments.

Experience deploying applications into production Azure environments.

Experience implementing Infrastructure as Code.

Experience building CI/CD pipelines.

Strong scripting and automation skills.

Must have skills:

Azure Cloud (Must Have)

Strong hands-on experience with Microsoft Azure.

Experience managing enterprise Azure subscriptions.

Hands-on production deployment experience within Azure.

Experience designing scalable and secure Azure infrastructure.

Good understanding of Azure governance and networking.

Infrastructure as Code (Must Have)

Candidates should have hands-on experience with:

Bicep (Preferred)

ARM Templates

Should have:

Created reusable infrastructure templates

Automated Azure resource deployments

Managed infrastructure through code

Azure Networking (Must Have)

Strong understanding of Azure networking including:

Virtual Networks (VNet)

Subnets

Network Security Groups

Azure Firewall

Load Balancer

Application Gateway

Private Link

Private Endpoints

Private DNS Zones

Routing

Hybrid Connectivity

Candidates should be comfortable explaining networking architecture used in production.

Kubernetes (Must Have)

Strong experience with:

Azure Kubernetes Service (AKS)

Kubernetes Architecture

Pods

Deployments

Services

Ingress

ConfigMaps

Secrets

Helm

Scaling

Rolling Updates

Cluster Networking

Production troubleshooting

CI/CD (Must Have)

Hands-on experience with:

GitHub Actions (Preferred)

OR

Azure DevOps Pipelines

GitLab CI

Jenkins

CircleCI

Should have built production-grade deployment pipelines.

Programming

Candidate must have coding experience.

Preferred language:

Python

Other acceptable languages:

Go

C#

Java

JavaScript

PowerShell (only in addition to another programming language)

Candidate should be able to:

Write automation scripts

Build deployment tooling

Debug code

Work with APIs

Development Background (Mandatory)

The candidate must have previously worked as a Software Developer before transitioning into DevOps.

Preferred backgrounds include:

Backend Developer

Full Stack Developer

Software Engineer

Platform Engineer

Cloud Engineer with development responsibilities

Nice to have skills:

Terraform

Azure Monitor

Prometheus

Grafana

Azure Key Vault

Azure Container Registry (ACR)

Docker

GitOps

ArgoCD

FluxCD

Azure Policy

Microsoft Defender for Cloud

Desired attributes:

Strong problem-solving and analytical skills with the ability to troubleshoot complex production and infrastructure issues.

Proactive, self-driven and adaptable with a focus on automation, continuous improvement and operational excellence.

Excellent collaboration and communication skills, with the ability to work effectively across development, DevOps and cloud engineering teams.

Strong ownership mindset with a commitment to delivering secure, scalable and high-quality cloud solutions in a fast-paced environment.

Interview process

2 rounds of discussion.