Azure Administrator

Required Technical Skill Set

MS Azure, M365, PowerShell

No of Requirements

1

Desired Experience Range

5 to 10 Years

Location of Requirement

Bangalore/Hydrabad

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·        Hands-on experience in Automating solutions in Power shell at L3 level

·        Experience in monitoring, troubleshooting, and executing Azure Runbooks for operational automation

·        Working knowledge of Microsoft 365 Groups management and support

·        String Experience in M365 License Management

·        Strong understanding of Agile methodologies, with experience working in Scrum or Kanban environments

·        Knowledge of Azure monitoring and diagnostics tools (Log Analytics, Application Insights, Alerts)

·        Good understanding of application security, reliability, and performance optimization in cloud environments

·        Excellent problem-solving, collaboration, and communication skills

·        Proficiency in DevOps practices, including CI/CD pipeline implementation and maintenance (Azure DevOps or GitHub Actions)

Good-to-Have

·        AZ-204

·        Good understanding of M365 Security and Compliance features, including retention, audit, and data governance policies

JOB DETAILS:

* Job Title: DevOps Engineer (Azure)

* Industry: Technology

* Salary: Best in Industry

* Experience: 2-5 years

* Location: Bengaluru, Koramangala

Review Criteria

• Strong Azure DevOps Engineer Profiles.
• Must have minimum 2+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).
• Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.
• Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell
• Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database
• Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis

Preferred

• Knowledge of containerisation and orchestration tools such as Docker and Kubernetes.
• Knowledge of Infrastructure as Code and configuration management tools such as Terraform and Ansible.
• Preferred (Education) – BE/BTech / ME/MTech in Computer Science or related discipline

Role & Responsibilities

• Build and maintain Azure DevOps YAML-based CI/CD pipelines for build, test, and deployments.
• Manage Azure DevOps Repos, Pipelines, Boards, and Artifacts.
• Implement Git branching strategies and automate release workflows.
• Develop scripts using Bash, Python, or PowerShell for DevOps automation.
• Monitor systems using Grafana, Prometheus, Datadog, or CloudWatch and handle incidents.
• Collaborate with dev and QA teams in an Agile/Scrum environment.
• Maintain documentation, runbooks, and participate in root cause analysis.

Ideal Candidate

• 2–5 years of experience as an Azure DevOps Engineer.
• Strong hands-on experience with Azure DevOps CI/CD (YAML) and Git.
• Experience with Microsoft Azure (OCI/AWS exposure is a plus).
• Working knowledge of SQL Server, PostgreSQL, or Oracle.
• Good scripting, troubleshooting, and communication skills.
• Bonus: Docker, Kubernetes, Terraform, Ansible experience.
• Comfortable with WFO (Koramangala, Bangalore).

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Job Description:

• Drive end-to-end automation from GitHub/GitLab/BitBucket to Deployment,

Observability and Enabling the SRE activities

• Guide operations support (setup, configuration, management, troubleshooting) of

digital platforms and applications

• Solid understanding of DevSecOps Workflows that support CI, CS, CD, CM, CT.

• Deploy, configure, and manage SaaS and PaaS cloud platform and applications

• Provide Level 1 (OS, patching) and Level 2 (app server instance troubleshooting)

• DevOps programming: writing scripts, building operations/server instance/app/DB

monitoring tools Set up / manage continuous build and dev project management

environment: JenkinX/GitHub Actions/Tekton, Git, Jira Designing secure networks,

systems, and application architectures

• Collaborating with cross-functional teams to ensure secure product development

• Disaster recovery, network forensics analysis, and pen-testing solutions

• Planning, researching, and developing security policies, standards, and procedures

• Awareness training of the workforce on information security standards, policies, and

best practices

• Installation and use of firewalls, data encryption and other security products and

procedures

• Maturity in understanding compliance, policy and cloud governance and ability to

identify and execute automation.

• At Wesco, we discuss more about solutions than problems. We celebrate innovation

and creativity.

5 to 10 years of software development & coding experience

Experience with Infrastructure as Code development (Automation, CICD) AWS CloudFormation, AWS CodeBuild, CodeDeploy are a must have. 

Experience troubleshooting AWS policy or permissions related errors during resource deployments \

Programming experience; preferred Python, PowerShell, bash development experience \

Have Experience with application build automation tools like Apache Maven, Jenkins, Concourse, and Git supporting continuous integration / continuous deployment capabilities (CI/CD) à GitHub and GitHub actions for deployments are must-have skills (Maven, Jenkins, etc. are nice to have)

Have configuration management experience (Chef, Puppet, or Ansible)

Worked in a Development Shop or have SDLC hands on Experience

Familiar with how to write software, test plans, automate and release using modern development methods

AWS certified at an appropriate level

• Candidate should have good Platform experience on Azure with Terraform.
• The devops engineer  needs to help developers, create the Pipelines and K8s Deployment Manifests.
• Good to have experience on migrating data from (AWS) to Azure. 
• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
• VMs to be provisioned on Azure Cloud and managed.
• Good hands on experience of Networking on Cloud is required.
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
• Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential. 
• Requirement is  to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
• The experience in AWS is desirable 
• Python experience is optional however Power shell is mandatory
• Know-how on the use of GitHub

About Us -Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data to extract intelligence and patterns thereby facilitating smarter and quicker decision making for clients. With Celebal Technologies, who understands the core value of modern analytics over the enterprise, we help the business in improving business intelligence and more data-driven in architecting solutions.

Key Responsibilities

•        As a part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the CI/CD components.

•        Creating and managing build and release pipelines with Azure DevOps and Jenkins.

•        Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

•        Troubleshoot server performance issues & handle the continuous integration system.

•        Automate infrastructure provisioning using ARM Templates and Terraform.

•        Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

•        Diagnose and develop root cause solutions for failures and performance issues in the production environment.

•        Deploy and manage Infrastructure for production applications

•        Configure security best practices for application and infrastructure

Essential Requirements

•        Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

•        Strong knowledge of CI/CD principles.

•        Strong work experience with CI/CD implementation tools like Azure DevOps, Team city, Octopus Deploy, AWS Code Deploy, and Jenkins.

•        Experience of writing automation scripts with PowerShell, Bash, Python, etc.

•        GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

•        Understanding of secure DevOps practices

Good to Have -

•        Knowledge of scripting languages such as PowerShell, Bash

•        Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

•        Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

•        Strong communication skills and ability to explain protocol and processes with team and management.

•        Must be able to handle multiple tasks and adapt to a constantly changing environment.

•        Must have a good understanding of SDLC.

•        Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

•        Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

•        Organized, flexible, and analytical ability to solve problems creatively.