Senior Site Reliability Engineer

The Challenge 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. Requirements Must 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 About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com . AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience . 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. 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 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