Senior DevOps Consultant

2 weeks ago

Anywhere in IndiaMultiple Locations CHAPTER TWO FOUR SEVEN INFOTECH PRIVATE Full time ₹ 10,00,000 - ₹ 25,00,000 per year

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 followed.


Key Responsibilities :


Infrastructure Management :

- Design, implement, and manage scalable cloud infrastructure on AWS and Azure.

- Set up and manage CI/CD pipelines for various projects , React, Python, PHP).

- Configure IaC tools like Terraform or CloudFormation/ARM templates.


Application 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, Grafana).


Support 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 management.


Security, 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 for alerting and optimization.


Collaboration & Documentation :

- Work closely with developers, data engineers, and ML engineers to streamline deployments and resolve bottlenecks.

- Document infrastructure architecture, deployment steps, and recovery procedures.


Key Skills & Qualifications :


Mandatory 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 PowerShell.


Project-Specific Skills :

- Familiarity with , 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 environments.


Tools & Practices :

- Git, GitHub/GitLab, Bitbucket

- Jenkins, GitHub Actions, Azure DevOps, CodePipeline

- Terraform, Ansible, Helm (optional)

- Monitoring with Prometheus/Grafana, Cloud-native monitoring tools


Nice to Have :

- Experience with hybrid cloud setups.

- Exposure to serverless frameworks.

- Familiarity with cloud billing dashboards and usage reports for cost control.

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