Position Overview :
We are seeking a highly skilled Cloud & DevOps Consultant to join us on a part-time,
consulting basis. The ideal candidate will bring deep expertise in Microsoft Azure and AWS
(IaaS and PaaS), Azure DevOps, Kubernetes, Docker, and networking, with additional
experience in RedHat OpenShift and MLOps being highly desirable.
You will play a pivotal role in guiding our teams, architecting scalable cloud solutions, and
enabling DevOps best practices across our projects.
Experience : Minimum 5 years in Cloud / DevOps roles
Key Responsibilities :
1. Cloud Infrastructure Advisory
- Advise , guide and implement the design, deployment, and management of cloud
solutions using Azure and AWS (IaaS and PaaS)
Recommend best practices for multi-region, highly available cloud environmentsProvide expertise in Infrastructure as Code (IaC) using Terraform, ARM / Bicep, andAWS CloudFormation
2. DevOps & Automation Consulting
Review and enhance CI / CD pipelines using Azure DevOps, AWS CodePipeline, andrelated tools
Mentor internal teams on automation, deployment, and monitoring strategiesRecommend and implement DevOps best practices, including continuousintegration, delivery, and testing
3. Containerization & Orchestration
Design, build, and manage containerized applications using DockerDeploy, maintain, and scale Kubernetes clusters (AKS on Azure, EKS on AWS)Provide insights and support on RedHat OpenShift deployments (nice to have)Ensure security, reliability, and scalability of containerized environments4. Networking & Security
Consult and guide on configuration and managing networking components (VNets,VPCs, firewalls, load balancers, VPNs) in Azure and AWS
Guide on implementation and monitoring security best practices (IAM, RBAC,secrets management) across both platforms
Ensure compliance with relevant standards and policies5. Monitoring & Incident Management
Set up observability tools (Azure Monitor, AWS CloudWatch, Grafana, Prometheus,Log Analytics)
Define alerting and logging strategies for proactive issue detection and resolutionParticipate in on-call rotation for incident response and troubleshooting6. MLOps Support
Collaborate with data science teams to automate ML model deployment andmonitoring
Support CI / CD workflows for machine learning pipelinesMonitor model performance and assist in automating retraining and deploymentprocesses
Required Qualifications :
Bachelor’s degree in Computer Science, Information Technology, or related fieldMinimum 5 years of hands-on experience with Azure and AWS cloud services (IaaS,PaaS)
Deep expertise in Azure DevOps, AWS DevOps tools, CI / CD pipeline automation, andInfrastructure as Code (Terraform, ARM / Bicep, CloudFormation)
Proficiency with Kubernetes (AKS, EKS) and Docker for containerization andorchestration
Strong understanding of networking concepts and cloud network configuration(Azure, AWS)
Experience with monitoring, logging, and incident management tools across bothplatforms
Scripting skills (PowerShell, Bash, Python)Familiarity with MLOps concepts and tools for ML model lifecycle managementExcellent problem-solving, troubleshooting, and communication skillsEngagement Details
Type : Part-time Consultant (number of hours per week / month negotiable)Location : Pune, Maharashtra, India (Hybrid options possible)Duration : 6 months (extendable based on project needs)This is an excellent opportunity for an experienced professional looking for a flexible,
impactful consulting role, driving cloud and DevOps excellence across innovative projects