Azure Administrator

Job Title: Sr. IT Analyst – IAM & Office 365

Location: Sector 32, Gurgaon

Work Mode: Hybrid

Shift Timing: 10:30 AM – 7:30 PM

Working Days: Monday to Friday (Should be comfortable working on weekends if needed)

About the Role

We are looking for a seasoned IT Security professional with a strong focus on Identity and Access Management (IAM) and Office 365 administration. This role is critical to ensuring secure access to enterprise systems, managing user identity lifecycles, and supporting ongoing cloud security initiatives.

You will work with cross-functional teams to implement security best practices, support operational tasks, and contribute to projects around IAM automation, Office 365 feature rollouts, and policy implementations.

Key Responsibilities

Identity and Access Management (IAM):

• Administer and maintain IAM systems across cloud and on-prem environments.
• Manage user provisioning, de-provisioning, and access reviews.
• Implement and optimize Conditional Access Policies, MFA, and RBAC.
• Integrate IAM solutions with Azure AD, Office 365, and other enterprise tools.
• Automate workflows for identity lifecycle management and secret/certificate rotation.
• Maintain documentation such as SOPs and process flows.

Office 365 Administration:

• Manage services like SharePoint Online, Teams, and PowerApps.
• Configure and monitor security features like DLP and Defender for Office 365.
• Troubleshoot Office 365 issues and respond to service requests.
• Ensure Office 365 logs are properly integrated into the SIEM system.

Operational Security & Projects:

• Conduct user access audits, incident handling, and vulnerability remediation.
• Participate in security tool upgrades and rollout of new O365 features.
• Ensure compliance with internal policies and external standards.
• Drive improvements in access control and security posture.

Requirements

• Education: Bachelor’s in Computer Science, IT, Cybersecurity, or a related field.
• Experience:
• 4+ years in IT Security with expertise in IAM and Office 365.
• Hands-on experience with Azure AD, MFA, Conditional Access, and O365 security.
• Technical Skills:
• Strong knowledge of IAM principles, RBAC, authentication protocols.
• PowerShell scripting for automation.
• Exposure to Microsoft Graph API is a plus.
• Soft Skills:
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration.

Good to Have

• Microsoft Certification – MS-102 or equivalent.

JOB DETAILS:

* Job Title: Lead I - Azure, Terraform, GitLab CI 

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 3-5 years

* Location: Trivandrum/Pune

Job Description

Job Title: DevOps Engineer

Experience: 4–8 Years 

Location: Trivandrum & Pune 

Job Type: Full-Time

Mandatory skills: Azure, Terraform, GitLab CI, Splunk

Job Description

We are looking for an experienced and driven DevOps Engineer with 4 to 8 years of experience to join our team in Trivandrum or Pune. The ideal candidate will take ownership of automating cloud infrastructure, maintaining CI/CD pipelines, and implementing monitoring solutions to support scalable and reliable software delivery in a cloud-first environment.

Key Responsibilities

• Design, manage, and automate Azure cloud infrastructure using Terraform.
• Develop scalable, reusable, and version-controlled Infrastructure as Code (IaC) modules.
• Implement monitoring and logging solutions using Splunk, Azure Monitor, and Dynatrace.
• Build and maintain secure and efficient CI/CD pipelines using GitLab CI or Harness.
• Collaborate with cross-functional teams to enable smooth deployment workflows and infrastructure updates.
• Analyze system logs, performance metrics, and s to troubleshoot and optimize performance.
• Ensure infrastructure security, compliance, and scalability best practices are followed.

Mandatory Skills

Candidates must have hands-on experience with the following technologies:

• Azure – Cloud infrastructure management and deployment
• Terraform – Infrastructure as Code for scalable provisioning
• GitLab CI – Pipeline development, automation, and integration
• Splunk – Monitoring, logging, and troubleshooting production systems

Preferred Skills

• Experience with Harness (for CI/CD)
• Familiarity with Azure Monitor and Dynatrace
• Scripting proficiency in Python, Bash, or PowerShell
• Understanding of DevOps best practices, containerization, and microservices architecture
• Exposure to Agile and collaborative development environments

Skills Summary

Azure, Terraform, GitLab CI, Splunk (Mandatory) Additional: Harness, Azure Monitor, Dynatrace, Python, Bash, PowerShell

Skills: Azure, Splunk, Terraform, Gitlab Ci

******

Notice period - 0 to 15days only

Job stability is mandatory

Location: Trivandrum/Pune

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

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

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

• 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

Roles and Responsibilities 

• Primary stakeholder collaborating with Dir Engineering on software/infrastructure architecture, monitoring/alerting framework and all other architectural level technical issues
• Design and manage implementation of Silvermine’s high performance, scalable, extensible and resilient microservices application stack based of existing, partially migrated monolithic application and for new product development.  Includes:
  • Utilizing either ECS Fargate (no EC2 clusters) or EKS as the orchestration framework – to be tested up to a minimum of 100k concurrent users
  • Exploring, designing and implementing use of on demand compute (Lambda) where appropriate
  • Scalable and redundant data architecture supporting microservices design principles
  • A scalable reverse proxy layer to isolate microservices from managing network connections
  • Utilizing CDN capabilities to offload origin load via an intelligent caching strategy
  • Leveraging best in breed AWS service offerings to enable team to focus on application stack instead of application scaffolding while minimizing operational complexity and cost
  • Monitoring and optimizing of stack for
• Security and monitoring
  • Leverage AWS and 3rd party services to monitor the application stack and data; secure them from DDOS attacks and security breaches; and alert the team in the vent of an incident
  • Using APM and logging tools:
    • Monitor application stack and infrastructure component performance
    • Proactively detect, triage and mitigate stack performance issues
    • Alert upon exception events
    • Provide triaging tools for debugging and Root Cause Analysis.
• Enhance the CI/CD pipeline to support automated testing, a resilient deployment model (e.g., blue-green, canary) and 100% rollback support (including the data layer)
• Development a comprehensive, supportable, repeatable IAC implementation using CloudFormation or Terraform
• Take a leadership role and exhibit expertise in the development of standards, architectural governance, design patterns, best practices and optimization of existing architecture.
• Partner with teams and leaders to provide strategic consultation for business process design/optimization, creating strategic technology road maps, performing rapid prototyping and implementing technical solutions to accelerate the fulfillment of the business strategic vision.
• Staying up to date on emerging technologies (AI, Automation, Cloud etc.) and trends with a clear focus on productivity, ease of use and fit-for-purpose, by researching, testing, and evaluating.
• Providing POCs and product implementation guidelines.
• Applying imagination and innovation by creating, inventing, and implementing new or better approaches, alternatives and breakthrough ideas that are valued by customers within the function.
• Assessing current state of solutions, defining future state needs, identifying gaps and recommending new technology solutions and strategic business execution improvements.
• Overseeing and facilitating the evaluation and selection technology, product standards and the design of standard configurations/implementation patterns.
• Partnering with other architects and solution owners to create standards and set strategies for the enterprise.
• Communicating directly with business colleagues on applying digital workplace technologies to solve identified business challenges.

Skills Required:

• Good mentorship skills to coach and guide the team on AWS DevOps.
• Jenkins, Python, Pipeline as Code, Cloud Formation Templates and Terraform.
• Experience with Dockers, Containers, Lambda and Fargate is a must
• Experience with CI/CD and Release management
• Strong proficiency in PowerShell scripting
• Demonstrable expertise in Java
• Familiarity with REST APIs

Qualifications:

• Minimum of 5 years of relevant experience in Devops.
• Bachelors or Masters in Computer Science or equivalent degree.
• AWS Certifications is added advantage