Engineering Manager- Data Devops

Ring Inc; Dadri; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading technology firm is seeking an experienced Principal Engineer–Data DevOps to lead their Data DevOps team in Noida. The successful candidate will manage high-scale data platforms, oversee cloud infrastructure, and implement best practices in automation and CI/CD processes. With a focus on mentorship and collaboration across multiple teams, applicants should have extensive experience in AWS services, big data technologies, and operational cost optimization. This is an exceptional opportunity to drive impactful solutions in data management.

Qualifications

• 8+ years in DevOps/Data DevOps or related fields, including at least 4+ years in a leadership role.
• Proven experience in managing high-scale big data infrastructure.
• Hands-on expertise with AWS and infrastructure automation tools.

Responsibilities

• Lead and mentor a Data DevOps team to maintain excellence.
• Design and implement large-scale cloud and data infrastructure.
• Collaborate with engineering and product teams for reliable data platforms.

Skills

Leadership in DevOps

AWS services management

Big data technologies

Automation (Terraform, Ansible)

CI/CD practices

Cloud security

Tools

Kafka

Apache Airflow

Spark

Docker

Kubernetes

Job description

Position: Principal Engineer–Data DevOps

Job Location: Noida

Job Overview

We are seeking an experienced Principal Engineer (Data DevOps) to lead our Data DevOps team in building, managing, and optimizing high‑scale, secure, and reliable big data platforms. The ideal candidate will combine strong technical expertise with proven leadership skills, driving best practices in cloud infrastructure, automation, CI/CD, and big data technologies. This role involves managing cross‑functional priorities, mentoring engineers, and ensuring delivery of high‑quality, scalable data solutions.

Key Responsibilities

• Lead, mentor, and grow a high‑performing Data DevOps team, fostering technical excellence and ownership.
• Drive architecture, design, and implementation of large‑scale cloud and data infrastructure, ensuring scalability, performance, and security.
• Collaborate closely with Data Engineering, Data Science, Analytics, and Product teams to deliver efficient and reliable data platforms.
• Oversee operations and optimization of AWS‑based infrastructure, including VPC, EC2, S3, EMR, EKS, SageMaker, Lambda, CloudFront, CloudWatch, and IAM.
• Manage and scale big data platforms leveraging Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Looker, and Jupyter Notebooks.
• Implement and maintain CI/CD pipelines and infrastructure automation using Terraform, Ansible, and CloudFormation.
• Ensure system observability, proactive incident management, and SLA adherence.
• Champion cloud security best practices, including API security, TLS/HTTPS, and access control policies.
• Partner with stakeholders to prioritize initiatives, manage budgets, and optimize cloud and operational costs.

Required Qualifications

• 8+ years in DevOps/Data DevOps or related fields, with at least 4+ years in a leadership role.
• Proven track record in managing high‑scale big data infrastructure and leading engineering teams.
• Hands‑on experience with AWS services and infrastructure automation tools (Terraform, Ansible, CloudFormation).
• Deep knowledge and hands‑on experience with Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Jupyter Notebooks, and Looker.
• Proficiency in Kubernetes/EKS, Docker, ECS, and CI/CD tools.
• Strong understanding of networking, cloud security, and compliance requirements.
• Excellent communication, stakeholder management, and decision‑making skills.
• Exposure to SQL and data query optimization is an advantage.