Senior DevOps Engineer (Azure AI Platform)

Workfall is a new-age premium talent tech platform looking for a We are hiring a Senior

DevOps Engineer to build and manage secure, scalable cloud platforms on Microsoft

Azure for AI and Digital Transformation projects. The role requires expertise in Azure, IaC,

CI/CD, Kubernetes, Containers, Cloud Automation, and DevSecOps, with the

opportunity to work on next-generation AI solutions using Azure OpenAI and cloud-native

technologies.

Experience: 8-10 Years

Location: Hyderabad

Employment Type: Full-Time (Hybrid)

Time Zone – Selected candidate is required to work as per: European Time (CET/GMT)

Key Responsibilities:

Cloud Infrastructure & Automation

● Design, build and manage Microsoft Azure cloud infrastructure using Infrastructure

as Code (IaC).

● Develop reusable Terraform/Bicep/ARM templates for scalable infrastructure

provisioning.

● Automate deployment, configuration, and infrastructure management across

Development, QA, UAT, and Production environments.

● Implement highly available, secure, and resilient cloud architectures.

DevOps & CI/CD

● Design, implement and optimize CI/CD pipelines using Azure DevOps and GitHub

Actions.

● Automate application, infrastructure, database, and AI model deployments.

● Build deployment strategies including Blue-Green, Canary, and Rolling deployments.

● Improve software release velocity while maintaining platform stability.

Containerization & Kubernetes

● Containerize enterprise applications using Docker.

● Deploy and manage workloads on Azure Kubernetes Service (AKS).

● Configure container registries, image security, scaling, ingress, and networking.

● Optimize Kubernetes clusters for performance, availability, and cost.

Monitoring & Reliability Engineering

● Implement enterprise monitoring, logging, tracing, and alerting solutions.

● Build dashboards using Azure Monitor, Log Analytics, Application Insights, Grafana,

or similar platforms.

● Monitor infrastructure health, application performance, availability, latency, and cloud

utilization.

● Perform root cause analysis (RCA) and proactively resolve production issues.

AI Platform Operations (MLOps)

● Support deployment and lifecycle management of AI/ML solutions in production.

● Manage model deployment, versioning, rollback strategies, and operational

monitoring.

● Track model performance, latency, drift, utilization, and cloud costs.

● Collaborate with Data Scientists and AI Engineers to operationalize machine learning

solutions.

Security & Governance

● Implement DevSecOps best practices across the software delivery lifecycle.

● Manage Azure Identity, RBAC, Key Vault, Managed Identities, and secrets

management.

● Work closely with Information Security teams to ensure compliance with enterprise

security standards.

● Implement infrastructure compliance, vulnerability scanning, and policy enforcement.

Collaboration

● Partner with Solution Architects, Data Engineers, AI Engineers, Developers, and

Security teams.

● Promote automation-first engineering culture across the organization.

● Mentor junior engineers and contribute to DevOps best practices and platform

standards.

● Continuously improve platform reliability, scalability, security, and developer

experience.

Preferred Qualification:

● Bachelor’s or Master’s degree in Computer Science, Information Technology,

Engineering, or related discipline.

● Microsoft Azure Certifications (preferred):

● Azure Administrator Associate (AZ-104)

● Azure DevOps Engineer Expert (AZ-400)

● Azure Solutions Architect Expert (AZ-305)

● Azure Security Engineer (AZ-500)

● Bachelor’s degree in Computer Science, Information Technology, Artificial

Intelligence, Data Science, Electronics & Communication, Mathematics(IIT),

Statistics(IIT / ISI), or a related engineering discipline from a recognized university.

Preferred Experience:

● Enterprise Azure Cloud Migration

● Cloud Native Applications

● Microservices Architecture

● AI/ML Platform Engineering

● MLOps

● Large-scale CI/CD implementations

● Multi-environment release management

● Enterprise Monitoring Platforms

● High Availability & Disaster Recovery

● Production Support for mission-critical applications

Soft Skills & Leadership Competencies:

● Excellent analytical and problem-solving skills.

● Strong verbal and written communication skills.

● Ability to engage with global clients and senior business stakeholder…