The Role
Manage Azure administration and DevOps infrastructure, including CI/CD pipelines, infrastructure as code, containers, Kubernetes, and microservice deployments. Deploy and scale AI and ETL workloads using Azure services, Python, and PySpark. Implement DevSecOps, secrets management, RBAC, monitoring, logging, governance, and Git-based collaboration while supporting Agile development practices.
Summary Generated by Built In
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.
Skills Required
- 5+ years of experience as an Azure Administrator, DevOps Engineer, or Platform Engineer
- Experience building CI/CD pipelines and deploying AI and ETL workloads using Azure services such as Virtual Machines, Databricks, Azure Data Factory, and Azure Data Lake Storage
- Experience deploying microservices developed in the MERN stack
- Deep expertise with Azure Pipelines, including Classic and YAML pipelines, multistage deployments, and release strategies
- Experience with GitHub Actions and Azure DevOps Services
- Proficiency with Terraform, ARM templates, and Bicep
- Strong Docker skills
- Expertise with Kubernetes and Azure Kubernetes Service, including scaling strategies
- Familiarity with Azure Container Registry and Azure Container Apps
- Experience deploying AI and ETL workloads involving Python and PySpark
- Experience embedding DevSecOps practices into pipelines
- Experience managing secrets with Azure Key Vault, enforcing RBAC, and integrating security scans into CI/CD
- Mastery of Git workflows, including branching, merging, and pull requests
- Experience with Azure Repos and GitHub
- Familiarity with Azure Boards and Agile methodologies such as Scrum and Kanban
- Experience with Azure Monitor, Application Insights, and Log Analytics
- Ability to design modular pipeline agents for build, test, deployment, and monitoring stages
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The Company
What We Do
InXiteOut is a strategic AI and data analytics partner for enterprises. It advises, architects, builds, and deploys production-grade AI solutions, data platforms, analytics systems, custom applications, and automation. The company helps organizations identify high-value use cases, turn complex data into actionable intelligence, and embed AI into daily workflows, enabling faster decisions, smarter operations, measurable business impact, and scalable growth across industries.
