Azure Cloud and DevOps Specialist

Azure Cloud/DevOps Specialist Consultant

Mandatory Skills

 

•  Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 3-7 years of hands-on experience in cloud, DevOps, MLOps, LLMOps, AgentOps

• Proven experience as a DevOps Engineer, Cloud Architect, or Software Engineer in an agile, cloud-native environment.

• Hands-on experience implementing end‑to‑end Devops pipelines, including data ingestion, model training, model registry, CI/CD for ML, and feature stores.

• Experience working with frameworks/tools like Azure Devops, Azure Platform or similar.

• Knowledge of Cloud monitoring, drift detection, model governance, and observability.

• Ability to design scalable Azure architectures with robust error handling, grounding, and monitoring

• Hands-on experience with cloud platforms (Azure, GCP) 

• Proficient in infrastructure automation tools such as Terraform, Helm Charts, Ansible, etc. 

• Strong understanding of DevOps practices/tools, including CI/CD, Pipelines, GitHub Actions, and Infrastructure as Code. 

• Proficient in Python, including automation scripting, data processing, and integration with cloud/ML workflows.

• Basic scripting knowledge in Python, able to write automation scripts in Python and Groovy DSL. 

• Experienced in managing the delivery of high-availability infrastructure to support mission-critical systems and services. 

• Experience with source version control tools like Azure Repos and GitHub. 

• Experience with containerization (Kubernetes, Docker) and orchestration. 

• Strong knowledge of networking concepts (TCP/IP, VNet/Subnet, DNS, Load Balancers, Application Gateway, etc.) and security practices (VPN, Firewalls, encryption).

• Familiarity with databases and caching mechanisms used in our stack, such as PostgreSQL and Redis. 

• Experience in handling complex IT infrastructure solution design and implementation. 

• Excellent communication and interpersonal skills, effective problem-solving skills, logical thinking ability, and strong commitment to professional and client service excellence. 

• Excellent teamwork skills and the ability to direct efforts of cross-functional teams for a collaborative proposition. — Strong synthesis and analytical skills. 

• Experience working in a consulting environment is an added advantage.

Primary Roles and Responsibilities 

• Architect, design, and govern scalable, secure, and highly available cloud infrastructure across Azure, GCP, and AWS to support modern application stacks (Django, Python, Node.js, React.js).

• Lead end‑to‑end cloud transformation initiatives, ensuring alignment with organizational strategy, security, and cost‑optimization goals.

• Provide technical leadership for hybrid/multi‑cloud architectures, including VPC design, networking, IAM policies, and disaster recovery planning.

• Establish cloud governance frameworks, standards, and best practices for infrastructure modernization.

• Possess in-depth knowledge of Azure and GCP troubleshooting methodologies, including:

·  Deep diagnostic methodologies 

·  Cluster‑level and node‑level performance analysis 

·  Distributed system debugging 

·  Root-cause analysis across infra, networking, app, and data layers

• Lead the design and optimization of CI/CD ecosystems using Azure DevOps, GitHub Actions, Jenkins, GitLab, or similar.

• Drive organization-wide adoption of Infrastructure as Code, implementing reusable Terraform modules, Helm charts, and Kubernetes blueprints.

• Establish DevOps standards for release governance, deployment automation, environment provisioning, and platform stability.

• Implement automation at scale using Python, Bash, PowerShell, and Groovy DSL.

• Architect and manage complex Kubernetes environments, including multi-cluster, multi-region, and hybrid setups.

• Oversee workload security, cluster governance, autoscaling policies, service mesh strategies, ingress/East-West traffic control, and runtime optimizations.

• Mentor teams in container best practices, image security, and enterprise-grade Helm/K8s deployments.

 

Preferred Skills
Must‑Have Technical Skills
— Azure DevOps (ADO), GitHub Actions, Bitbucket, Azure Repos
— Helm, Kubernetes, Docker, and enterprise‑grade containerization practices
— Terraform and Infrastructure as Code principles
— Artifactory or similar artifact management solutions
— Strong Python and Groovy scripting experience for automation and troubleshooting
— Hands‑on troubleshooting skills across Azure / AWS / GCP, including advanced diagnostics and cloud-native service debugging
— Expertise in scalable resource deployment, best practices, cost optimization, compliance, and operational governance

• Bachelor's degree in Computer Science, Engineering.
• 3+ years of experience in Cloud, DevOps role
• Excellent problem-solving skills

Experience Level

Senior Level