Tech Lead, Infrastructure Engineering (Cloud SRE L2)

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title Tech Lead, Infrastructure Engineering (Cloud SRE L2)

Work Location – Bengaluru

Experience – 5-10 Years

Skills – Multi-Cloud, Terraforms, Production Support

Cloud Site Reliability Engineer (SRE) – L2

We are looking for a Cloud Site Reliability Engineer (SRE) – L2 to drive reliability, scalability, and performance across cloud-based infrastructure in a distributed, dynamic environment. This role blends software engineering and advanced systems operations to improve availability, reduce operational toil through automation, and strengthen observability and incident response across AWS, Azure, and GCP.

What does a successful Cloud Site Reliability Engineer (SRE) – L2 do at Fiserv?

You will design and operate reliable cloud platforms and services by applying SRE principles, automation-first practices, and strong operational discipline. As a hands-on engineer, you will partner closely with Engineering, Architecture, DevOps, and Security to improve uptime, accelerate detection and recovery, and continuously harden systems through capacity planning, monitoring, and blameless post-incident learning.

What you will do:

• Design and maintain fault-tolerant, highly available architectures across AWS, Azure, and GCP, including redundancy, load balancing, and automated failover.

• Deploy, manage, and optimize cloud resources using Infrastructure as Code (IaC) tools such as Terraform and Ansible.

• Implement and improve monitoring, alerting, and logging using tools such as Splunk, Azure Monitor, Dynatrace, AWS CloudWatch, or similar.