Azure Administrator

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)

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

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

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

• 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

We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).

Job Description:

● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.

●Responsible for deploying highly complex, distributed transaction processing systems.

● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization

● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale

● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking

● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.

● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.

● Ensuring scaled database setup/monitoring with near zero downtime

• 3+ years experience leading a team of DevOps engineers
• 8+ years experience managing DevOps for large engineering teams developing cloud-native software
• Strong in networking concepts
• In-depth knowledge of AWS and cloud architectures/services.
• Experience within the container and container orchestration space (Docker, Kubernetes)
• Passion for CI/CD pipeline using tools such as Jenkins etc.
• Familiarity with config management tools like Ansible Terraform etc
• Proven record of measuring and improving DevOps metrics
• Familiarity with observability tools and experience setting them up
• Passion for building tools and productizing services that empower development teams.
• Excellent knowledge of Linux command-line tools and ability to write bash scripts.
• Strong in Unix / Linux administration and management,

KEY ROLES/RESPONSIBILITIES:

• Own and manage the entire cloud infrastructure
• Create the entire CI/CD pipeline to build and release
• Explore new technologies and tools and recommend those that best fit the team and organization
• Own and manage the site reliability
• Strong decision-making skills and metric-driven approach
• Mentor and coach other team members