Senior Computer Scientist - Sre

Adobe

Not specified (assumed flexible based on company culture)
12+ years in site reliability or production engineering
Expert proficiency in python, go, java, or bash
Deep understanding of kubernetes and microservices
Adobe is seeking a Senior Computer Scientist specializing in Site Reliability Engineering (SRE) to enhance the reliability and scalability of the Adobe Pass platform. The ideal candidate should possess extensive experience in managing distributed systems and a strong proficiency in automation and observability technologies

Job Summary

  • The role involves defining the long-term reliability and scalability strategy for Adobe's Pass platform while aligning with product and business goals.
  • Candidates will champion advanced automation frameworks to enable zero-touch operations and introduce AI/ML-based predictive monitoring systems.
  • Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

Matching Summary

Match Score: 85

Adobe is seeking a Senior Computer Scientist specializing in Site Reliability Engineering (SRE) to enhance the reliability and scalability of the Adobe Pass platform. The ideal candidate should possess extensive experience in managing distributed systems and a strong proficiency in automation and observability technologies.

Skills & Requirements

Must-have

  • 12+ years in site reliability or production engineering
  • Expert proficiency in Python, Go, Java, or Bash
  • Deep understanding of Kubernetes and microservices
  • Advanced experience with Terraform and CloudFormation
  • Mastery in Prometheus, Grafana, Datadog, or OpenTelemetry

Nice-to-have

  • Experience with error budgets and chaos engineering
  • Prior work in high-traffic media streaming platforms
  • Familiarity with Kafka, Spark, or Hadoop ecosystems
  • Hands-on security compliance experience like SOC2
  • Published contributions or conference talks on reliability

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Engineering
  • 12+ years of experience in large-scale distributed system operations
  • Proven track record managing globally distributed cloud-native systems

Work Rights

Not specified

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