Senior Software Engineer - Data Infrastructure
Similar by same category and same work mode
Salary not disclosed
Posted 5d ago
Last seen in source 11 Nov 2026
Listing review date 6 Dec 2026 (not an application deadline)
Not disclosed
See experience in job description
On-site
Full time
Noida
Not specified
Not specified
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.
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
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!
This job listing was originally published on Paytm .
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Paytm · Noida
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