Cloud SRE L2

Job Description *

Work Location Bangalore

Experience – 5-10 Years

Skills – Cloud SRE L2

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.
• Lead incident response for service outages and degraded performance, including real-time triage, mitigation, root cause analysis, and post-incident reviews.
• Drive capacity planning and scaling improvements by forecasting demand, optimizing utilization, and enforcing autoscaling and performance best practices.
• Build automation and internal tooling to reduce manual toil and improve operational consistency using Python, PowerShell, Bash, or similar.
• Collaborate with Security teams to implement secure infrastructure practices including encryption, role-based access control, auditing, and vulnerability management.
• Support cloud data migrations using relevant cloud migration tools and best practices.
• Work across engineering and DevOps teams to promote reliability best practices and contribute to mentoring and a blameless culture.

What you will need to have:

• 5+ Years of hands-on programming/scripting experience in Python, PowerShell, Bash, or equivalent for automation and operational tooling.
• Strong experience with one or more cloud platforms (AWS, Azure, or GCP) and core services including VPC/VNet, IAM, serverless patterns, and managed Kubernetes services.
• Experience with containers and orchestration technologies including Docker and Kubernetes.
• Proficiency in Infrastructure as Code (IaC) using Terraform and/or Ansible.
• Experience with observability stacks and operational monitoring using Splunk, Azure Monitor, Dynatrace, AWS CloudWatch, or similar.
• Practical experience using cloud data migration tools.
• Advanced knowledge of Windows and Linux/Unix environments, including system administration and networking fundamentals.
• Proven incident response capability with strong troubleshooting skills under pressure.
• Strong collaboration and communication skills, with the ability to coordinate across teams and document clear outcomes.

What would be great to have:

• Cloud certifications such as AWS Certified Solutions Architect, Google Cloud Professional DevOps Engineer, or Azure DevOps Engineer.
• Experience with chaos engineering or resilience testing frameworks.
• Experience supporting multicloud and/or hybrid cloud deployments.
• Familiarity with SLOs, SLIs, and error budgets, and how to apply them to improve service reliability.
• Experience gathering operational feedback and driving improvement solutions using Azure services.

How you'll work:

• This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.