Location: Mumbai

Job Type: Full-time

Experience: 8–10 years

Role Summary

We are seeking an experienced Lead DevOps Engineer to lead the design, implementation, and optimization of our cloud-based data platform on AWS. This role is responsible for architecting scalable cloud infrastructure, driving platform engineering initiatives, mentoring engineers, and ensuring reliability, security, performance, and cost optimization across the platform.

This is not a traditional application DevOps role. The focus is on cloud infrastructure, platform engineering, Kubernetes, automation, and enabling enterprise-scale data platforms.

A key responsibility will be leading the migration of an existing data platform from Azure to AWS, including infrastructure design, Windows Server migration, containerization, Kubernetes/EKS implementation, Infrastructure as Code, CI/CD, security, monitoring, and operational readiness.

The Lead DevOps Engineer will provide technical leadership, define best practices, drive architectural decisions, and collaborate closely with Data Engineering, Software Engineering, Security, and Architecture teams.

Key Responsibilities

Lead the design, implementation, and management of scalable, secure, and highly available AWS infrastructure.
Drive the migration of an existing enterprise data platform from Azure to AWS.
Analyze existing Azure environments and define the target AWS architecture and migration strategy.
Lead Infrastructure as Code implementation using Terraform with reusable modules.
Design and manage enterprise-grade CI/CD pipelines for infrastructure, applications, and data workloads.
Automate infrastructure provisioning, configuration management, and deployment using Ansible.
Design, administer, and support Windows Server environments, including automation, configuration, patching, hardening, and operational management.
Architect, deploy, and manage production-grade Kubernetes/EKS clusters.
Design and manage containerized platforms using Docker and Kubernetes.
Build reusable cloud platform capabilities for data engineering teams.
Define AWS networking, IAM, security, governance, monitoring, backup, disaster recovery, and high availability strategies.
Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.
Develop automation scripts and platform tooling using Python.
Implement monitoring and observability solutions across cloud infrastructure.
Lead production support, incident management, root cause analysis, and problem resolution.
Mentor DevOps engineers and establish engineering best practices.
Collaborate with Architects, Data Engineers, Software Engineers, Security teams, and other stakeholders.
Maintain architecture documentation, migration playbooks, operational runbooks, and platform standards.

Must-Have Skills & Qualifications

AWS Cloud

Strong hands-on experience with AWS services including:
- EC2
- VPC
- IAM
- S3
- RDS
- EKS
- Lambda
- CloudWatch
- SNS
- SQS
- EventBridge
- Glue

Kubernetes

Expert-level Kubernetes administration.
Strong production experience with Amazon EKS.
Experience with Kubernetes networking, deployments, services, ingress, autoscaling, RBAC, and troubleshooting.

Infrastructure as Code

Advanced Terraform.
Reusable modules.
State management.
Multi-environment deployments.

Configuration Management (Mandatory)

Strong hands-on experience with Ansible.
Playbooks.
Roles.
Inventory management.
Configuration automation.
Server provisioning.
Application deployment automation.

Windows Server Administration (Mandatory)

Strong hands-on experience with Windows Server Administration.
Active Directory fundamentals.
IIS.
PowerShell.
Windows Server configuration.
Patching.
Security hardening.
Performance tuning.
Troubleshooting.

Containers

Docker.
Kubernetes.
Amazon EKS.

CI/CD

Experience With One Or More

Azure DevOps
Jenkins
GitHub Actions
GitLab CI

Programming

Strong Python scripting.
Bash.
PowerShell.

Cloud Migration

Strong experience leading Azure-to-AWS migration projects.
Infrastructure migration.
Networking migration.
Security migration.
CI/CD migration.
Platform migration.

DevOps

Git.
Automation.
Release Management.
Infrastructure Automation.
Monitoring.
Logging.

Database

PostgreSQL.
Amazon RDS.
SQL.

Data Platform

Understanding Of

Data Lakes.
Data Pipelines.
Distributed Systems.
Enterprise Data Platforms.

Leadership Responsibilities

Lead cloud platform architecture decisions.
Own AWS platform engineering strategy.
Review infrastructure designs and Terraform code.
Mentor and coach DevOps engineers.
Define DevOps standards and best practices.
Drive platform modernization initiatives.
Collaborate with Enterprise Architecture and Security teams.
Lead cloud migration planning and execution.
Drive operational excellence and continuous improvement.

Preferred Skills

AWS Glue
Athena
Lake Formation
Prometheus
Grafana
Dynatrace
Vault
AWS Secrets Manager
Kafka
Flink
Apache Iceberg
Apache Hudi
Agile / Kanban
AWS Certified DevOps Engineer – Professional
AWS Certified Solutions Architect – Professional

Experience

8–10 years of DevOps / Platform Engineering experience.
5+ years of hands-on AWS experience.
3+ years of production Kubernetes/EKS experience.
Strong experience with Terraform, Ansible, and Windows Server Administration.
Experience leading Azure-to-AWS migration initiatives.
Experience designing enterprise cloud platforms.
Proven ability to lead technical teams and mentor engineers.
Strong troubleshooting skills across cloud infrastructure, Kubernetes, networking, and operating systems.
Excellent communication, stakeholder management, and collaboration skills.

Go Digital Technology Consulting LLP

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