Sr. Manager, Data Reliability Engineering (8+ years)

Visa; Bengaluru; On-site; INR 4,200,000 - 5,600,000; Full time

Job summary

Visa is seeking a Senior Manager of Site Reliability Engineering for Data Platforms in Bengaluru to lead teams ensuring reliability, scalability, and security of data platforms and pipelines. You will partner with data engineering, analytics, ML, product, risk, compliance, security, and infrastructure teams to operate critical data systems.

You will drive automation, observability, incident management, and disaster recovery, while promoting reliability, governance, and data integrity across

Qualifications

• Experience leading SRE teams responsible for data platforms and pipelines.
• Strong understanding of data platforms, distributed systems, and data infrastructure.
• Familiarity with cloud data services, orchestration tools, automation, and AI-driven workflows.
• Digital fluency with Generative AI tools and modern engineering practices.

Responsibilities

• Lead design, development, deployment, and operation of scalable, reliable data-SRE solutions.
• Oversee automation, monitoring, alerting, observability, incident response, disaster recovery, and reliability practices for data systems.
• Guide teams in troubleshooting complex production issues involving data pipelines and storage platforms.
• Promote CI/CD, infrastructure as code, and reliability testing across Data org.
• Coach and mentor SRE/infra teams, fostering continuous improvement and data integrity.
• Collaborate with data engineering, analytics, ML, product, security, risk, compliance, QA, infra, and business partners to meet priorities and regulatory standards.
• Ensure adherence to security, governance, data protection, and change-management standards.
• Lead SLIs/SLAs, capacity planning, performance optimization, and reliability dashboards.

Skills

SRE leadership

Automation

CI/CD

Observability

Incident management

Cloud data platforms

Data pipelines

Data security

Capacity planning

AI tooling

Tools

CI/CD tools

Observability tools

Job description

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Job Description

Job Summary

The Senior Manager, Site Reliability Engineering (SRE) - Data Platforms leads teams responsible for ensuring the reliability, scalability, security, performance, and operational excellence of data platforms, data infrastructure, and data-intensive production systems. This role supports the Data area by partnering with data engineering, analytics, machine learning, product, risk, compliance, security, and infrastructure teams to operate and improve the systems that capture, process, store, move, and serve critical business data.

This role oversees the development and execution of reliability strategies, infrastructure automation, observability practices, incident management processes, and operational standards for data pipelines, data platforms, distributed processing systems, cloud data services, streaming platforms, orchestration tools, and data storage environments. The Senior Manager ensures that data services meet expectations for availability, latency, throughput, recoverability, security, compliance, and data integrity.

This role is responsible for establishing processes, automation, monitoring, alerting, service-level objectives, incident response practices, disaster recovery capabilities, capacity planning, and operational excellence frameworks based on business and technical requirements. The Senior Manager guides teams in improving platform reliability, reducing toil, troubleshooting complex production issues, and supporting resilient data operations across high-volume, distributed environments.

The Senior Manager acts as a leader for SRE, infrastructure, platform, or operations engineering teams supporting the Data organization by removing blockers, enabling productivity, improving operational maturity, and fostering an inclusive, high-performance engineering culture. The role also involves coaching and developing engineers to adapt to evolving cloud platforms, data technologies, automation tools, observability frameworks, reliability practices, and AI-driven workflows. This leader partners closely with software engineering, data engineering, product management, QA, risk, compliance, security, infrastructure, and business stakeholders to deliver safe, resilient, transparent, and customer-centric data solutions.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools - for example, ChatGPT and Claude Cod - to support everyday work, improve operational efficiency, accelerate documentation, assist with troubleshooting, and enhance engineering productivity.

Key Responsibilities

• Lead the design, development, deployment, and operation of scalable, reliable, secure, and highly available SRE solutions supporting data platforms, data pipelines, and data infrastructure.
• Oversee the creation and maintenance of automation, monitoring, alerting, observability, incident response, disaster recovery, and reliability engineering practices for data systems across multiple platforms and services.
• Guide teams in troubleshooting and resolving complex production issues involving data pipelines, distributed processing systems, storage platforms, orchestration tools, streaming systems, infrastructure services, performance bottlenecks, and service degradations.
• Drive the adoption of automation, CI/CD, infrastructure as code, quality engineering, observability, reliability testing, and operational excellence practices across the Data area.
• Coach and mentor SRE, infrastructure, platform, or operations engineering teams supporting Data, fostering a culture of continuous improvement, accountability, learning, reliability, data integrity, and technical excellence.
• Collaborate with data engineering, analytics, machine learning, product, security, risk, compliance, QA, infrastructure, and business partners to ensure solutions meet business priorities, customer expectations, regulatory requirements, security standards, data governance expectations, and operational risk controls.
• Ensure adherence to reliability, resilience, security, compliance, access management, disaster recovery, change management, and data protection standards throughout the technology and data lifecycle.
• Lead the implementation of service-level indicators, service-level objectives, error budgets, capacity planning, performance optimization, incident metrics, reliability dashboards, and