Senior DevOps Engineer - Cloud Infrastructure

Workfall is a new-age premium talent tech platform looking for 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 YearsLocation : 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.Requirements :- Minimum 3+ years of experience in D365 F&O Finance module or Dynamics AX.- Hands-on experience with GL, AP, AR, Budgeting, Fixed Assets.- Strong command over functional configuration and solution testing.- Excellent English communication skills (written & verbal).- Strong analytical mindset and ability to work independently with international clients.- Willingness to travel for client projects.Preferred Qualification :- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related discipline.- Microsoft Azure Certifications (preferred) :1. Azure Administrator Associate (AZ-104)2. Azure DevOps Engineer Expert (AZ-400)3. Azure Solutions Architect Expert (AZ-305)4. 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. (ref:hirist.tech)