The ChallengeThe 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 doThis 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 succeedYou'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.
RequirementsMust have:- 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
Expected Pay Range: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 position is $139,000 -- $257,550 annually. Pay within this range varies by work location and 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.
In New York, the pay range for this position is $177,900 - $257,550
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.
