Senior Site Reliability Engineer

Adobe Systems
New York
Workplace: RemoteFull timeUSD 177,900 - 257,550 annuallyFunction: DevOps, Cloud & InfrastructureEducation: bachelorsSkills: ["Self-starter","Debugging"]

Design, build, and operate large-scale distributed systems for Adobe’s cloud-native infrastructure, including ML inference and agentic AI reliability. Own patching, golden-image lifecycles, and automation tooling (IaC, CI/CD) across fleet environments. Lead multi-quarter initiatives like compute rationalization and cloud re-platforming, partner with software/ML/platform teams to bake in reliability, and participate in on-call incident response.

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FursaFursa
Adobe Systems
Adobe Systems
5 hours ago

Senior Site Reliability Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, build, and operate large-scale distributed systems for Adobe’s cloud-native infrastructure, including ML inference and agentic AI reliability. Own patching, golden-image lifecycles, and automation tooling (IaC, CI/CD) across fleet environments. Lead multi-quarter initiatives like compute rationalization and cloud re-platforming, partner with software/ML/platform teams to bake in reliability, and participate in on-call incident response.
Location: New York
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate large-scale distributed, fault-tolerant systems, along with IaC, CI/CD, and automation tooling.
  • •Own patch, vulnerability, and golden-image lifecycle management across the fleet, including triage, remediation, and automation.
  • •Drive multi-quarter initiatives such as compute rationalization, cloud re-platforming, and ML platform migration.
  • •Build and operate ML inference infrastructure (model serving, GPU workloads, and LLM gateway/routing).
  • •Partner across software, ML, and platform teams to bake in reliability and participate in on-call/incident response.

Pay and Benefits

Salary: USD 177,900 - 257,550 annually
Equity and Bonus:Equity

Key Requirements

  • •BSc in Computer Science or equivalent practical experience.
  • •Strong programming ability with Python and familiarity with PHP, Node.js, or Ruby.
  • •Experience deploying and operating ML inference pipelines in production (e.g., SageMaker, OpenAI, Bedrock).
  • •Experience operating cloud-native compute at scale (e.g., AWS EC2 Auto Scaling Groups and Kubernetes; Azure/GCP a plus).
  • •Experience with vulnerability/patch management and AMI/golden-image lifecycle automation, plus distributed-systems debugging and willingness for on-call.
Education:Bachelor's in Computer Science
Skills:Self-starterDebugging
Tech Stack:AWSAzureGCPKubernetesLambdaFastlyDatadomeWAFSageMakerBedrockVLLMLangGraphLangSmithMCPAurora PostgreSQLMemcachedTerraformTerragruntAtlantisChef

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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