.jpeg){kind=icon}
Designs, deploys, automates, and supports secure, scalable Azure infrastructure. Responsibilities include Terraform-based provisioning, Azure networking, Kubernetes and AKS administration, CI/CD pipeline development, monitoring, observability, disaster recovery, troubleshooting, documentation, and production support. The role collaborates across architecture, engineering, security, QA, operations, and product teams while driving cloud, DevOps, automation, performance, and availability improvements.
Position:Senior DevOps Engineer - AzureJob Description:Key Responsibilities
- Work closely with Cloud Architects, Solution Architects, Developers, SRE, and Engineering teams to design and implement Azure infrastructure solutions for products and services.
- Design, deploy, and maintain Microsoft Azure cloud infrastructure, ensuring scalability, security, reliability, performance, and operational supportability.
- Create and maintain infrastructure architecture diagrams, technical documentation, deployment guides, and operational runbooks for Azure environments.
- Develop, automate, and test end-to-end cloud infrastructure provisioning and deployment using Infrastructure as Code and configuration-management tools.
- Implement infrastructure automation using Terraform, PowerShell, Bash, and Python, including automated provisioning, configuration, scaling, and operational tasks.
- Design and optimize Azure networking and cloud connectivity, including VNets, Subnets, NSGs, Route Tables, Load Balancers, Application Gateway, Private Endpoints, VPN, DNS, and Firewall.
- Deploy and manage Kubernetes/AKS and containerized workloads, including cluster configuration, application deployment, scaling, networking, and troubleshooting.
- Design, implement, and maintain CI/CD pipelines for automated application and infrastructure deployments using Azure DevOps or equivalent tools.
- Develop and enhance infrastructure architecture, performance optimization, capacity planning, high availability, and disaster recovery solutions to support 99.9%+ uptime.
- Implement monitoring and observability using Azure Monitor, Log Analytics, Prometheus, and Grafana to proactively identify infrastructure and application issues.
- Collaborate with Product and Engineering teams to develop new technology initiatives focused on availability, scalability, security, performance, automation, and supportability.
- Troubleshoot complex Azure, Kubernetes, networking, Linux, Windows, and CI/CD issues and participate in root-cause analysis and production support.
- Establish and enforce cloud, DevOps, security, infrastructure, and automation best practices across environments.
- Stay current with emerging Azure, DevOps, Kubernetes, automation, security, and cloud-native technologies and continuously improve technical capabilities.
- Establish and maintain effective working relationships across Architecture, Engineering, Development, Security, QA, Operations, and Product teams.
- Prepare and deliver weekly technical updates and presentations on completed work, infrastructure improvements, automation initiatives, and technical solutions to senior team members and team leads.
- Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical discipline.
- 4+ years of hands-on experience designing, building, testing, and supporting Microsoft Azure cloud infrastructure.
- Strong hands-on experience with Azure services, networking, compute, storage, identity, security, and monitoring.
- Proficiency in Terraform, PowerShell, Bash, and Python for infrastructure automation and scripting.
- Strong understanding of Azure networking and cloud connectivity, including VNet, Subnets, NSGs, Routing, VPN, DNS, Load Balancer, Firewall, and Private Endpoints.
- Strong experience with Linux and Windows system administration, troubleshooting, performance tuning, and best practices.
- Hands-on experience with Kubernetes and preferably Azure Kubernetes Service (AKS).
- Strong experience designing and maintaining CI/CD pipelines, preferably using Azure DevOps.
- Experience with Docker and containerized application deployments.
- Understanding of cloud security, RBAC, Managed Identity, Key Vault, secrets management, and secure infrastructure practices.
- Experience with Azure Monitor, Log Analytics, Prometheus, Grafana, or equivalent monitoring/observability platforms.
- Strong troubleshooting, analytical, communication, documentation, and problem-solving skills.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Supports cross-functional programs by maintaining project plans, timelines, action trackers, KPIs, dashboards, and status reports. Coordinates meetings, follows up on deliverables, tracks risks and schedule deviations, and facilitates stakeholder communication across engineering, quality, manufacturing, operations, and supply chain teams. Assists with root-cause analysis, corrective actions, documentation, and Lean Six Sigma continuous-improvement initiatives.
Top Skills:
JIRAExcelMicrosoft PowerpointMicrosoft ProjectMicrosoft TeamsMicrosoft WordPower BISharepoint
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Troubleshoots, dismantles, repairs, adjusts, assembles, and rebuilds electro-mechanical manufacturing equipment. Uses testing and diagnostic tools to identify equipment problems, follows blueprints and repair manuals, and performs equipment modifications as directed by engineers. Partners with team members to monitor data, improve critical metrics, and apply Generative AI insights where appropriate.
Top Skills:
Electro-Mechanical Manufacturing EquipmentGenerative AiTest And Diagnostic Equipment
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manages finished-goods processes across global sites, ensuring process alignment, inventory accountability, compliance, staffing, equipment, materials, and customer requirements. Monitors forecasts and output needs, supports audits and process changes, investigates customer issues, provides shipping history, and helps coordinate staffing and equipment requests. The role also includes employee performance management, career development, and applying artificial intelligence.
Top Skills:
Artificial Intelligence
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
