Site Reliability Engineer - Python | Go | Kubernetes | DevOps | Bangalore | 8-10 Yrs

Overview

As a Senior Site Reliability Engineer, you will build, operate, and continuously improve the reliability, scalability, and operational excellence of Splunk Agent Resilience's deployment platform and production infrastructure. You will support cloud and air-gapped customer deployments, develop operational automation, and partner with engineering teams to deliver reliable, secure, and scalable systems.

What you'll do

• Operate and improve Kubernetes-based production infrastructure and deployment systems.
• Own customer deployments across cloud and air-gapped environments, including installation, upgrades, troubleshooting, and lifecycle management.
• Build and improve deployment observability, monitoring, logging, and alerting.
• Improve reliability, scalability, and operational efficiency through automation and performance optimization.
• Participate in production incident response, root cause analysis, and reliability improvements.
• Tune infrastructure components, including databases and services, to improve performance and resilience.
• Design and develop internal tooling using Python and/or Go.
• Debug complex production issues spanning Kubernetes, networking, storage, and application layers.
• Manage infrastructure using Terraform or similar Infrastructure as Code tools.
• Collaborate with software engineers and customers to design secure, scalable, and reliable deployment architectures.

What you'll need

• 8+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, Infrastructure Engineering, or a related field.
• 3+ years' operating Kubernetes in production.
• Experience with Helm.
• Experience building and maintaining CI/CD platforms and deployment automation.
• Experience working with AWS, GCP, or similar cloud platforms.

Nice to have

• Experience improving production reliability, scalability, and availability.
• Experience with monitoring, logging, observability, and alerting platforms.
• Strong scripting or programming skills in Python and/or Go.
• Experience with Infrastructure as Code tools such as Terraform.
• Experience with MLOps.
• Solid understanding of networking fundamentals, including VPCs, DNS, routing, and load balancing.
• Experience operating and tuning data infrastructure for performance and reliability, including OLTP/OLAP databases, message queues, and object storage systems.
• Experience deploying and supporting cloud and air-gapped/on-prem environments.
• Strong debugging and troubleshooting skills across distributed systems.
• Ability to collaborate effectively across engineering, infrastructure, security, and customer-facing teams.

Details

• Location: Bangalore, India.
• The role supports both cloud and air-gapped customer deployments.