Data Devops Engineer

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.

About the Role:

We are looking for a Senior Data DevOps Engineer to manage and optimize data pipelines, databases, and cloud infrastructure. The ideal candidate will ensure smooth data flow, handle deployments, and improve system reliability.

Key Responsibilities:

- Manage and maintain data pipelines and cloud infrastructure.

- Automate deployment, monitoring, and scaling of data platforms.

- Work with development teams to ensure smooth integration and delivery of data services.

- Troubleshoot database and system issues to minimize downtime.

- Implement best practices for security, backups, and disaster recovery.

- Optimize performance of data storage and retrieval systems.

- Monitor system health and handle incidents proactively.

- Collaborate with DevOps and data engineering teams for continuous improvements.

Required Skills:

-Infrastructure Management: Design, implement, and maintain scalable, reliable, and secure infrastructure on AWS

- Strong practical knowledge of managing AWS Infrastructure, especially EC2, Load Balancers, CloudFront, ElasticCache, EBS, S3, IAM, CloudWatch, Auto Scaling, Lambda, etc.

- Good experience in security compliance, including OS upgrades, patching, and kernel optimization

- Hands-on experience with Kubernetes, Docker, and Terraform.

- Experience with Big Data technologies such as Hive HMS and Apache Ranger.

- Familiarity with network topologies and common network protocols and services (DNS, HTTP(S), SSH, FTP, SMTP)

- Proficiency in managing databases (MySQL).

- Experience with CI/CD pipelines and automation tools (Jenkins/ArgoCD, GitLab,Airflow).

Scripting knowledge (Python, Shell, etc.).

- Strong understanding of data processing tools (Spark, Kafka,Flink etc.).

- Knowledge of monitoring tools (Prometheus, Grafana).

- Good problem-solving skills and ability to work independently.

Nice to Have:

- Experience with big data tools like Hadoop .

- Familiarity with machine learning model deployment.

- Knowledge of data security and compliance.

Why join us :

· A collaborative output driven program that brings cohesiveness across businesses through technology

· Improve the average revenue per use by increasing the cross-sell opportunities

· A solid 360 feedbacks from your peer teams on your support of their goals

· Respect, that is earned, not demanded from your peers and manager

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!