Engineering Manager- Data Devops
Paytm · Noida · 8+ yrs experience · Posted 2026-03-12
Tech stack: AWS, Ansible, Kafka, Terraform, Airflow, Apache Spark, Hive
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About the role
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 Ka
Responsibilities:
- 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.
- 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.
Qualifications:
- Experience listed by Paytm posting: 8+ years, 4+ years.
- Official department: Technology > Lending.
- Location listed by Paytm: Noida, Uttar Pradesh, India.
Qualifications
- Experience listed by Paytm posting: 8+ years, 4+ years.
- Official department: Technology Lending.
- Location listed by Paytm: Noida, Uttar Pradesh, India.
Responsibilities
- 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.
- 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.