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:

• ● Bachelors or Masters 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)

● Bachelors 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 stakeholders.
• ● Strong consulting and solution-oriented mindset.
• ● Experience working in Agile/Scrum delivery environments.
• ● Ability to mentor and coach junior engineers.
• ● Strong ownership, accountability, and customer-first mindset.
• ● Ability to independently drive complex technical initiatives.
• ● Passion for innovation and continuous learning in Generative AI technologies.