Bengaluru, Karnataka, India; Kolkata, West Bengal, India · Full time · Posted Aug 25, 2026
Experience Required:
5+ years of solid experience as Azure Admin or DevOps Engineer or Platform Engineer, building CI/CD pipelines and deploying AI / ETL workloads involving various Azure services including VM, Databricks, ADF, ADLS etc. as well as microservices developed in MERN stack.
Core Technical Skills Required:
CI/CD Pipeline Mastery
Azure Pipelines: Deep expertise in building and managing both Classic and YAML-based pipelines, including multi-stage deployments, release strategies, and integration.
GitHub Actions and Azure DevOps Services for orchestrating automated builds, tests, and deployments across microservices.
Infrastructure as Code (IaC)
Proficiency in Terraform, Azure Resource Manager (ARM) templates, and Bicep for declarative infrastructure provisioning.
Enables consistent, scalable, and auditable environments for AKS clusters and supporting services.
Containerization & Orchestration
Strong command of Docker for image creation and management.
Expertise in Kubernetes Container Distribution through pipeline, especially Azure Kubernetes Service (AKS) and scaling strategies.
Familiarity with secure image storage and deployment using Azure Container Registry (ACR) and Azure Container Apps (ACA).
Deep expertise of deploying AI and ETL workloads including VM, Databricks, ADF, ADLS etc. involving Python and PySpark modules.
Deep expertise of deploying web applications / microservices developed in MERN stack.
Security & Compliance
Embedding DevSecOps practices into pipelines.
Managing secrets with Azure Key Vault, enforcing RBAC, and integrating security scans into CI/CD flows.
Version Control & Collaboration
Mastery of Git workflows (branching, merging, pull requests).
Use of Azure Repos and GitHub for collaborative development and code hygiene.
Agile & DevOps Mindset
Familiarity with Azure Boards for sprint planning, backlog grooming, and work item tracking.
Embracing agile methodologies (Scrum, Kanban) and fostering cross-functional collaboration.
Monitoring, Logging & Governance
Use of Azure Monitor, Application Insights, and Log Analytics for pipeline observability and performance tuning.
Strategic Capabilities for Governance and Scalability
Modular Agent Design: Independent agents for pipeline stages (e.g., build, test, deploy, monitor) to enhance robustness and scalability.
Ovii Interpretation
This Senior Azure Administrator II role focuses on building and operating Azure delivery infrastructure for AI, ETL, and MERN-based services. The work spans CI/CD, infrastructure provisioning, container deployment, security controls, and observability across Azure environments.
Role at a glance
Azure administrationCI/CD pipelinesInfrastructure as codeKubernetes and containersAI and ETL deploymentDevSecOps
Create and maintain Azure Pipelines, including YAML and Classic configurations, multi-stage releases, and deployment integrations.
Automate builds, tests, and releases across microservices using Azure DevOps Services and GitHub Actions.
Provision repeatable Azure environments and supporting AKS infrastructure with Terraform, ARM templates, and Bicep.
Build and deploy containerized services and AI/ETL workloads across Azure services, including Databricks, ADF, and ADLS.
Integrate security into delivery pipelines through secrets management, access controls, and security scanning.
Use Azure monitoring and logging tools to observe pipeline behavior and tune performance.
Apply Git collaboration workflows and use Azure Boards for work tracking; structure pipeline stages as independent agents where useful.
Good fit signals
At least five years in Azure administration, DevOps engineering, or platform engineering is requested.
Strong background building CI/CD pipelines and deploying Azure-based AI or ETL workloads and MERN microservices aligns with the core scope.
The role calls for substantial capability with Azure Pipelines, infrastructure as code, Docker, and Kubernetes/AKS.
Experience integrating secrets management, RBAC, and security scans into delivery workflows is relevant.
Familiarity with Azure Boards and Scrum or Kanban is called out as a supporting signal.
Meet InXiteOut
Founded in 2019, InXiteOut is an India-based AI and data analytics consulting and technology company that helps enterprises develop and deploy production-ready AI solutions. Its services include AI strategy, data engineering, cloud data platforms, predictive analytics, business intelligence, generative AI, and intelligent automation. The company serves businesses across retail, consumer packaged goods, financial services, automotive, and real estate. Its proprietary offerings include VoXLoop, an AI-powered voice-of-customer intelligence platform, and Crucible, a Databricks-native agentic ETL accelerator. InXiteOut develops solutions for customer analytics, marketing optimization, financial analysis, supply chain intelligence, and enterprise data management. The company reports more than 50 enterprise AI deployments across 35 countries. It operates from Bengaluru and Kolkata, with a business presence in New York.
Founded
2019
Company size
51-200 employees
Company stage
Not known
Headquarters
Bengaluru, India
Why work here
InXiteOut offers opportunities to work on applied AI, machine learning, data engineering, and analytics projects for enterprise customers across several industries. The company reports more than 50 enterprise AI deployments in 35 countries, providing exposure to production-scale technical challenges. Its proprietary VoXLoop and Crucible offerings also create opportunities to work on agentic AI and data platform development. Public case studies demonstrate work with Azure Databricks, Apache Spark, PySpark, React, and Power BI. Its careers page lists engineering, data, product, and cloud roles across Bengaluru and Kolkata. Employee testimonials on the company website emphasize technical learning, early ownership, and career development. Candidates should independently assess team-specific responsibilities, compensation, work arrangements, and career progression during interviews.
AMArindam MukherjeeFounder and ChairmanView bioHide bio
Founder and Chairman of InXiteOut, with over 25 years of experience building and scaling technology businesses. Previously associated with Alumnus Software Limited as CEO. His expertise spans enterprise technology, manufacturing, consumer electronics, biotechnology, and financial services. An alumnus of IIT Kharagpur and IIM Calcutta, he helped establish InXiteOut in 2019 and contributes to its long-term strategy, enterprise relationships, and organizational development.
SDShounak DasCo-Founder and Chief Executive OfficerView bioHide bio
Co-Founder and CEO of InXiteOut. An alumnus of IIM Calcutta, where he studied from 2011 to 2013, he has a background in management consulting, including experience at Kearney. He co-founded InXiteOut in 2019 and leads its business strategy, enterprise AI services, customer relationships, and organizational growth. Earlier company profiles identified him as COO before his current CEO role.
KBKaushik BarCo-Founder and Chief Technology OfficerView bioHide bio
Co-Founder and CTO of InXiteOut, specializing in artificial intelligence, machine learning, data science, and enterprise analytics. He previously held technical leadership positions at Western Digital and Intel. He studied Electronics and Telecommunications Engineering at Jadavpur University and completed an MBA at IIM Bangalore, receiving a gold medal. A published researcher and patent holder, he leads InXiteOut's AI research, technology strategy, and engineering capabilities.
Sales leader with more than 18 years of professional experience across business development and commercial leadership roles. At InXiteOut, he leads global sales activities, enterprise customer engagement, and business development for the company's AI and data analytics offerings. He has also completed executive education at NUS Business School.
SSSaurabh SinghAssistant Vice President - Data EngineeringView bioHide bio
Data engineering and cloud technology leader with more than 12 years of experience. His background includes work at Equifax and NettPositive, with expertise in enterprise data architecture, cloud engineering, data warehousing, and digital transformation. At InXiteOut, he leads data engineering capabilities and contributes to the development of scalable enterprise data platforms.
ASAvinash SinhaAssistant Vice President - Data ScienceView bioHide bio
Leads data science capabilities at InXiteOut, supporting enterprise machine learning, predictive analytics, and AI implementation. He contributes to the company's technical thought leadership on agentic AI and enterprise intelligence, including a company-published article examining how autonomous AI systems can transform business decision-making.
NNNuqra NaqviAssistant Vice President - Human ResourcesView bioHide bio
Human resources leader with more than 13 years of experience across IT and IT-enabled services. She holds a Six Sigma Green Belt certification and has previously received professional recognition at EXL Services. At InXiteOut, she leads HR initiatives, people operations, and organizational development. The company publicly announced her appointment as Assistant Vice President of Human Resources in 2026.
InXiteOut participates as an Exhibit Sponsor at Cypher 2026
Analytics India Magazine
InXiteOut participated as an Exhibit Sponsor at Cypher 2026, held in Bengaluru from October 7 to 9. The company showcased enterprise AI capabilities, including its VoXLoop voice-of-customer intelligence platform and Crucible agentic ETL accelerator.
InXiteOut introduces Crucible, a Databricks-native agentic ETL accelerator
InXiteOut
InXiteOut introduced Crucible, an agentic data engineering accelerator built around Databricks. The solution uses configuration-driven pipelines, automation, and integrated governance to help enterprises accelerate the development of AI-ready data foundations.
InXiteOut reports improved real estate sales targeting through AI segmentation
InXiteOut·
InXiteOut published a case study describing an AI-powered customer segmentation and propensity scoring solution for a real estate sales organization. The company reported more than 50% faster segmentation and a 17% improvement in site-visit conversion through automated targeting and campaign analytics.
InXiteOut builds a unified Customer 360 platform for real estate sales
InXiteOut·
InXiteOut described an Azure-based Customer 360 platform integrating fragmented customer records from more than 100 data sources. The company reported 30 times faster customer lookup and more than 90% faster onboarding of third-party data sources using automated ingestion, AI-assisted field mapping, and governed data engineering.
InXiteOut delivers enterprise analytics transformation across more than 30 markets
InXiteOut·
InXiteOut published a case study detailing a global consumer analytics platform developed for an omnichannel enterprise operating across more than 30 markets. The solution used Azure Databricks, PySpark, Azure Data Factory, and Power BI to standardize customer data and enable more than 60 dashboards, reportedly reducing data preparation time by 70%.