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Site Reliability Engineer

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JFrog

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We’re hiring a Site Reliability Engineer to help improve the availability, performance, scalability, and operational excellence of our SaaS environments. You’ll work closely with Engineering and Cloud teams to automate operations, strengthen observability, and improve incident response using modern SRE practices (SLOs/SLIs, error budgets, postmortems). This role is hands-on, collaborative, and impact-focused. If you're eager to make a significant impact in a fast-paced, high-growth environment, we encourage you to apply.

Job Responsibility:

  • Improve reliability, scalability, performance, and observability for JFrog SaaS services in partnership with engineering teams
  • Implement SRE practices: define SLOs/SLIs, run failure analysis, support capacity planning, perform service readiness reviews and drive tech-debt reliability improvements
  • Support day-to-day operations of our Multi Cloud Global Distributed Cloud Native Kubernetes-based SaaS environments to keep services available, performant, cost efficient and scalable
  • Build and enhance internal services and tools to streamline operations and reduce toil through automation
  • Develop and maintain Python/Go automation to improve deployment safety, incident response and operational visibility
  • Run PoCs, prototype, and drive implementations for agentic automation using an ADK/agent framework, leveraging AI where it meaningfully improves operational & strategic excellence
  • Support resilience testing/chaos experiments (as appropriate) and improve disaster recovery readiness
  • Participate in on-call, lead incidents to resolution, and drive postmortems and follow-up actions that prevent recurrence
  • Act as a primary contact for SaaS production issues, collaborating closely with Product sengineering groups
  • Evaluate cloud-native technologies and vendor solutions that improve SaaS reliability and lifecycle management

Requirements:

  • 4+ years in SRE, DevOps, or Production Engineering in large-scale production environments
  • Production experience with Kubernetes (Docker) and at least one cloud provider (AWS, GCP, or Azure)
  • Working knowledge of SLO/SLI, alerting strategy, incident response, postmortems, and reliability improvements
  • Proficiency in Python or Go for automation, integrations, and internal tools
  • Hands-on with metrics/logs/traces using tools like New Relic, Coralogix, Prometheus, Grafana, OpenTelemetry (or equivalents)
  • Strong incident response and triage using PagerDuty/Opsgenie (or equivalent)
  • Exposure to chaos/resilience testing (e.g., Gremlin) and DR readiness
  • Practical use of AI-assisted operations (e.g., log/incident summarization, triage helpers)
  • familiarity building simple agents with an ADK/agent framework (e.g., LangGraph, LangChain, CrewAI, or similar)
  • Working knowledge of microservices delivery using Jenkins, ArgoCD, or equivalent
  • Strong documentation (runbooks, postmortems) and a collaborative, independent problem-solving mindset

Additional Information:

Job Posted:
March 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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