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Lead/Senior Lead - Data Devops

Pay
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Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting
Employment
Full-time — employment source
Employment type Full-time Employment
Employment type in the employer’s posting: Full-time Employment
From the employer’s posting

What you’ll work on

Full posting
  • Lead, mentor and grow a Data DevOps team

  • Design and run large-scale cloud and data infrastructure on AWS

  • Manage big data platforms such as Kafka, Spark, EMR and Airflow

  • Build CI/CD pipelines and infrastructure automation with Terraform and Ansible

  • Ensure observability, incident management and SLA adherence

From the employer’s posting
Lead, mentor, and grow a high-performing Data DevOps team
Drive architecture, design, and implementation of large-scale cloud and data infrastructure
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

Tools in this posting

  • SQL
  • AWS
  • Docker
  • Hive
  • Kafka
  • Kubernetes
  • Looker
  • S3
  • SageMaker
  • Spark
  • Terraform
  • Trino
  • Airflow
Source — Tool mentions in context
● Excellent communication, stakeholder management, and decision-making skills. ● Exposure to SQL and data query optimization is an advantage. Why join us:
● 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.
● Proven track record in managing high-scale big data infrastructure and leading engineering teams. ● Strong 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.
● 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.
● 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.
● Strong 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.
● 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.

About Paytm

Paytm is India's leading mobile payments and financial services distribution company.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 20266 days ago
Recorded sightings
7
Last seen by us
Nov 4, 2026
Employer says posted
Aug 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 6

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From 7,804 similar postings that came down. Coming down is not always a hire.

Paytm is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

About Us:
Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.
 
 Job Overview:
We are seeking an experienced 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:
● Experience: 6+ years in DevOps/Data DevOps or related fields, including at least 4+ years in a leadership role.
● Proven track record in managing high-scale big data infrastructure and leading engineering teams.
● Strong 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.

Why join us:
Because you get an opportunity to make a difference, and have a great time doing that
You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve
You should work with us if you think seriously about what technology can do for people
We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be.
Learn more about the exciting work we do in Tech by reading our Engineering blogs

Compensation:
If you are the right fit, we believe in creating wealth for you.
With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it.

India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Employment type

Full-time Employment

Source details

View original posting ↗

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Pay

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Location & working pattern

Noida, Uttar Pradesh

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