Senior Site Reliability Engineer

The Adobe Creative Community CCM organization is seeking an outstanding Senior Site Reliability Engineer (SRE) to support innovation through machine learning, autonomous AI workflows, and cloud-native infrastructure. Adobe Stock gives designers and businesses access to hundreds of millions of curated, royalty-free assets that integrate directly with Adobe’s desktop, mobile, and web apps, as well as Behance’s creative community and Content’s advanced services. Our infrastructure spans multiple cloud platforms and is orchestrated by cloud-native, containerized systems as we build the framework for Adobe’s next wave of AI-powered products. The team blends startup energy with the resources of a large software company. What you’ll do This is a role for engineers who want it all - design work, ML systems, and operational ownership. On-call and incident response come with the territory, but they’re the proving ground, not the job.

• Design, build, and operate large-scale, distributed, fault-tolerant systems, and the IaC, CI/CD, and automation tooling behind them
• Own patch, vulnerability, and golden-image lifecycle management across the fleet - triage, remediate, automate
• Contribute to multi-quarter initiatives: compute rationalization, cloud re-platforming, ML platform migration
• Build and operate ML inference infrastructure - model serving, GPU workloads, language model gateway and routing - contributing to a broader systems portfolio
• Help set infrastructure standards and security guardrails for agentic AI, and build the agent tooling we used to run our own operations
• Partner across software, ML, and platform teams to bake reliability in from the start
• Share on-call and fix challenges wherever problems show up - web services, databases, pipelines, ML systems What you need to succeed You’re a self-starter - passionate, motivated, and comfortable working remotely. Some SDE background helps, but a willingness to build that skill matters more. It is important that you understand how software and systems come together and operate internet-hosted applications. You should also know your way around the infrastructure toolchain, including provisioning, config management, patch/image management, and container orchestration. You don’t need to possess the qualifications of an ML engineer, but you should understand ML capabilities and how inference pipelines and model-serving systems work., In New York, the pay range for this position is $177,900 - $257,550 In Colorado, the pay range for this position is $155,700 - $225,450 In Illinois, the pay range for this position is $155,700 - $225,450 In Massachusetts, the pay range for this position is $155,700 - $225,450 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice Dec 31 2026 12:00 AM If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward:

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• BSc in Computer Science or equivalent experience in a practical setting
• Python, plus familiarity with PHP, Node.js, or Ruby
• Familiarity with deploying/operating ML inference pipelines (SageMaker, OpenAI, Bedrock, or equivalent) in production
• Experience operating cloud-native compute over broad, scalable infrastructures - EC2 Auto Scaling Groups and Kubernetes in AWS; Azure/GCP a plus.
• Experience with vulnerability/patch management and AMI/golden-image lifecycle automation at fleet scale
• Strong debugging skills on distributed systems

• Willingness to participate in on-call rotation Nice to have:

• Production ML operations experience at any scale
• GPU-backed compute and cost/performance tuning experience
• Exposure to agentic AI workflows - LangGraph or similar, LLM gateway/routing across providers

• Relational database operations experience (upgrades, IAM auth, performance tuning) Technologies we use

• Cloud & Orchestration: AWS (primary), Azure, GCP, Kubernetes, Lambda
• Edge & Security: Fastly, Datadome, WAF
• ML/AI: SageMaker, Bedrock, vLLM, LangGraph, LangSmith, LLM gateway, MCP
• Data & Caching: Aurora PostgreSQL, Memcached
• IaC & Automation: Terraform, Terragrunt, Atlantis, Chef, Ansible, SSM, Docker
• Languages: Python, PHP, bash, Ruby
• CI/CD: Jenkins, Argo CD
• Observability: New Relic, Splunk, Grafana, Prometheus

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $139,000 – $257,550 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.