Senior DevOps Consultant - AWS & Azure

Job Overview :

We're looking for a proactive Sr. DevOps Consultant with min. 10 years of experience who can work for 2-3 hours / day in IST Time zone with strong expertise in AWS and Azure to support a wide range of projects including MERN stack apps, Python / PHP services, data pipelines, and AI / ML deployments.

This role will focus on infrastructure automation, secure deployments, MLOps / DataOps, monitoring, and cost optimization across all environments. The engineer will also take ad-hoc sessions with the team to review current cloud setups and ensure best practices are Responsibilities : Management :

• Design, implement, and manage scalable cloud infrastructure on AWS and Azure.
• Set up and manage CI / CD pipelines for various projects (Node.js, React, Python, PHP).
• Configure IaC tools like Terraform or CloudFormation / ARM Deployment & Monitoring :
• Manage deployment of MERN stack applications, REST APIs, and microservices.
• Manage environment setup, versioning, rollbacks, and automated testing. Include high availability, disaster recovery plans, and regular database backups to reduce downtime.
• Implement monitoring, logging, and alerting systems (e.g., CloudWatch, Azure Monitor, Prometheus, for Data Engineering, BI, and AI / ML Projects :
• Deploy and monitor data pipelines using tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
• Support ETL workflows, ensuring efficient and secure data processing for analytics.
• Deploy and manage environments for data lakes, warehouses, Spark, and Kafka.
• Enable automated deployment of ML models using SageMaker, Azure ML Studio, or Docker.
• Manage MLOps workflows : model packaging, versioning, A / B testing, and monitoring.
• Facilitate BI platform deployments, report refresh scheduling, and access control.
• Apply DataOps and MLOps practices to ensure reproducibility, version control, and robust release Cost Optimization & Compliance :
• Implement cloud security best practices and ensure compliance with organizational policies.
• Manage secrets, certificates, access controls, and secure data handling.
• Maintain a solid understanding of cloud cost structures and proactively implement cost optimization strategies for compute, storage, and network services.
• Using tools like AWS Budgets, Azure Cost Management, or third-party CloudHealth / Spot.io for alerting and & Documentation :
• Work closely with developers, data engineers, and ML engineers to streamline deployments and resolve bottlenecks.
• Document infrastructure architecture, deployment steps, and recovery Skills & Qualifications : Technical Expertise :
• Strong proficiency in AWS (EC2, ECS, Lambda, RDS, S3, CloudWatch, IAM, etc.).
• Solid experience with Azure (VMs, App Services, Azure Functions, Blob Storage, ADF, etc.).
• Experience with Docker, Kubernetes (EKS / AKS preferred).
• Proficiency in scripting with Bash, Python, or Skills :
• Familiarity with Node.js, React, MongoDB deployments.
• Hands-on experience in deploying and scaling Python and PHP applications.
• Exposure to Data Engineering workflows, ETL design, and orchestration tools.
• Understanding of AI / ML model lifecycle, APIs, and GPU / CPU & Practices :
• Git, GitHub / GitLab, Bitbucket
• Jenkins, GitHub Actions, Azure DevOps, CodePipeline
• Terraform, Ansible, Helm (optional)
• Monitoring with Prometheus / Grafana, Cloud-native monitoring to Have :
• Experience with hybrid cloud setups.
• Exposure to serverless frameworks.
• Familiarity with cloud billing dashboards and usage reports for cost control.

(ref : hirist.tech)