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)
