Site Reliability Engineer

Role Overview

Infosys is hiring a Site Reliability Engineer for its Mangaluru, Karnataka, India location. This is a full-time, on-site role focused on keeping systems reliable, scalable, and efficient across cloud and operational environments.

Core Responsibilities

• Build and maintain CI/CD/CT pipelines using tools such as Jenkins, Bamboo, Azure DevOps, or AWS CodePipeline.
• Work with infrastructure-as-code solutions like Terraform, CloudFormation, and Azure ARM to automate cloud infrastructure management.
• Create, operate, and refine monitoring and log-analysis systems using platforms such as AppDynamics, Datadog, Splunk, Kibana, Prometheus, Grafana, and Elasticsearch.
• Use AIOps platforms such as Dynatrace, Splunk, and ServiceNow to support incident handling, observability, and alert-noise reduction.
• Oversee infrastructure capacity and performance to support growth across public and private cloud environments.
• Set and enforce standards for system architecture, deployment practices, metrics, and operational activities.
• Track service availability and system health, and participate in incident response activities.
• Improve delivery speed, performance, and efficiency through automation, process improvements, postmortem analysis, and configuration reviews.
• Coordinate and communicate effectively across teams and functions within the organization.
• Troubleshoot and monitor production systems to maintain strong uptime and stability.
• Strengthen and evolve high-availability architecture and day-to-day operational processes.
• Integrate GenAI and AIOps capabilities to automate incident detection, root cause analysis, and resolution workflows, including self-healing scripts and intelligent runbooks.
• Use prompt engineering to improve the quality and usefulness of responses from AI-driven observability and automation tools.
• Apply cloud AI services such as AWS Bedrock, Azure OpenAI, and GCP Vertex AI to design smarter SRE solutions for cloud platforms.
• Have working knowledge of agentic AI approaches that can be applied in operations and support environments.

Required Background

• Hands-on experience with at least one high-level programming language such as Python, Ruby, or Go.
• Good understanding of object-oriented programming concepts.
• Practical experience with CI/CD/CT pipeline design and implementation.
• Strong familiarity with infrastructure automation and cloud operations tools.
• Experience using monitoring, observability, and log-management solutions for production support.
• Exposure to AIOps, GenAI, and AI/ML platforms used in operations workflows.
• Ability to manage production systems, support availability targets, and respond to incidents effectively.

Additional Information

This position emphasizes reliability engineering, cloud-scale operations, automation, and the adoption of AI-driven support practices. The role also calls for collaboration across the organization and a focus on continuous improvement in system uptime, performance, and operational efficiency.