[Hiring] Site Reliability Engineer II @LivePerson

Role Description

We are seeking a Mid-Level Site Reliability Engineer (SRE) to join our global Platform Engineering team. As an SRE, your primary responsibility is to ensure that our platform is reliable, scalable, and performant. You’ll be the bridge between development and operations — designing automation, improving observability, and maintaining the health of our production systems. You should have what it takes to ask the right questions, identify potential risks early, and raise flags when necessary to maintain a culture of reliability and continuous improvement.

• Collaborate closely with Developers, QA, and Product teams during sprint planning to understand release plans, dependencies, and infrastructure requirements.
• Participate in the application release cycle, ensuring deployments are automated, consistent, and reliable.
• Manage and operate Kubernetes clusters in Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS).
• Develop and manage Terraform modules for provisioning and configuring cloud infrastructure across GCP and AWS.
• Standardize service deployments using Helm for templating and versioned releases.
• Build and enhance observability with Prometheus, Grafana, and Datadog to monitor application and platform performance.
• Design, implement, and maintain GitLab CI/CD pipelines for build, test, and deployment automation.
• Drive an automation-first culture by developing scripts and tooling in Python, Go, or Shell to minimize manual effort and improve efficiency.
• Participate in a 24/7 on-call rotation, ensuring quick detection, mitigation, and resolution of incidents.
• Perform root cause analysis (RCA) and contribute to post-incident reviews to prevent recurrence.
• Proactively identify reliability or scalability gaps, raise early warnings, and partner with teams to address systemic risks.

Qualifications

• 5-8 years of experience as a Site Reliability Engineer, Platform Engineer, or DevOps Engineer.
• Hands-on experience managing Kubernetes clusters (GKE, EKS) in GCP and AWS.
• Strong knowledge of Terraform, Helm, and GitLab CI/CD pipelines.
• Proficiency in Python, Go, or Shell scripting for automation and tooling.
• Experience implementing and managing observability stacks (Prometheus, Grafana, Datadog).
• Deep understanding of Linux systems, cloud networking, and container orchestration concepts.
• Experience working in Agile/Scrum environments and partnering closely with developers.
• Excellent analytical skills with a proactive attitude — able to question assumptions and escalate potential risks early.

Requirements

• Experience with ArgoCD or Flux (GitOps-based workflows).
• Familiarity with service mesh (Istio, Linkerd) or API gateways.
• Knowledge of cloud cost optimization, autoscaling, or security best practices.
• Experience with incident management tools such as PagerDuty, ServiceNOW.

Benefits

• 15 Days PTO + Casual & Sick Leave
• Insurance: 8 Lakhs Family Floater Coverage; Personal Accident & Life Insurance: 3x of Gross Annual Salary*