Senior IT Analyst (IAM & O365)

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)

LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

LogiNext is looking for a technically savvy and passionate Junior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

Knowledge in building secure, high-performing and scalable infrastructure. Experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 0 to 1 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Knowledge in Linux/Unix Administration and Python/Shell Scripting Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

• Candidate should be able to write the sample programs using the Tools (Bash, PowerShell, Python or Shell scripting)
• Analytical/logical reasoning
• GitHub Actions
• Should have good working experience with GitHub Actions
• Repository/Workflow Dispatch, writing reusable workflows, etc
• AZ CLI commands
• Hands-on experience with AZ CLI commands

Description

DevOps Engineer / SRE

• Understanding of maintenance of existing systems (Virtual machines), Linux stack
• Experience running, operating and maintainence of Kubernetes pods
• Strong Scripting skills
• Experience in AWS
• Knowledge of configuring/optimizing open source tools like Kafka, etc.
• Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
• Optimizing and standardizing monitoring, alerting.
• Experience in Google cloud platform
• Experience/ Knowledge  in Python will be an added advantage
• Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform  etc

Looking for an experienced candidate with strong development and programming experience, knowledge preferred-

• Cloud computing (i.e. Kubernetes, AWS, Google Cloud, Azure)
• Coming from a strong development background and has programming experience with Java and/or NodeJS (other programming languages such as Groovy/python are a big bonus)
• Proficient with Unix systems and bash
• Proficient with git/GitHub/GitLab/bitbucket

Desired skills-

• Docker
• Kubernetes
• Jenkins
• Experience in any scripting language (Phyton, Shell Scripting, Java Script)
• NGINX / Load Balancer
• Splunk / ETL tools

• Recommend a migration and consolidation strategy for DevOps tools
• Design and implement an Agile work management approach
• Make a quality strategy
• Design a secure development process
• Create a tool integration strategy

JOB RESPONSIBILITIES:

• Responsible for design, implementation, and continuous improvement on automated CI/CD infrastructure
• Displays technical leadership and oversight of implementation and deployment planning, system integration, ongoing data validation processes, quality assurance, delivery, operations, and sustainability of technical solutions
• Responsible for designing topology to meet requirements for uptime, availability, scalability, robustness, fault tolerance & security
• Implement proactive measures for automated detection and resolution of recurring operational issues
• Lead operational support team manage incidents, document root cause and tracking preventive measures
• Identifying and deploying cybersecurity measures by continuously validating/fixing vulnerability assessment reports and risk management
• Responsible for the design and development of tools, installation procedures
• Develops and maintains accurate estimates, timelines, project plans, and status reports
• Organize and maintain packaging and deployment of various internal modules and third-party vendor libraries
• Responsible for the employment, timely performance evaluation, counselling, employee development, and discipline of assigned employees.
• Participates in calls and meetings with customers, vendors, and internal teams on regular basis.
• Perform infrastructure cost analysis and optimization

SKILLS & ABILITIES

Experience: Minimum of 10 years of experience with good technical knowledge regarding build, release, and systems engineering

Technical Skills:

• Experience with DevOps toolchains such as Docker, Rancher, Kubernetes, Bitbucket
• Experience with Apache, Nginx, Tomcat, Prometheus ,Grafana
• Ability to learn/use a wide variety of open-source technologies and tools
• Sound understanding of cloud technologies preferably AWS technologies
• Linux, Windows, Scripting, Configuration Management, Build and Release Engineering
• 6 years of experience in DevOps practices, with a good understanding of DevOps and Agile principles
• Good scripting skills (Python/Perl/Ruby/Bash)
• Experience with standard continuous integration tools Jenkins/Bitbucket Pipelines
• Work on software configuration management systems (Puppet/Chef/Salt/Ansible)
• Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook) and other business productivity tools
• Working knowledge on HSM and PKI (Good to have)

Location:

• Bangalore

Experience:

• 10 + Years.

Experienced with Azure DevOps, CI/CD and Jenkins.

Experience is needed in Kubernetes (AKS), Ansible, Terraform, Docker.

Good understanding in Azure Networking, Azure Application Gateway, and other Azure components.

Experienced Azure DevOps Engineer ready for a Senior role or already at a Senior level.

Demonstrable experience with the following technologies:

Microsoft Azure Platform As A Service (PaaS) product such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services.

Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C.

Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics.

Knowledge of PowerShell, GitHub, ARM templates, version controls/hotfix strategy and deployment automation.

Ability and desire to quickly pick up new technologies, languages, and tools

Excellent communication skills and Good team player.

Passionate about code quality and best practices is an absolute must

Must show evidence of your passion for technology and continuous learning