Adobe

We are seeking an experienced Staff Software Development Engineer with deep expertise in cloud infrastructure and a passion for building scalable, production‑grade ML systems. As part of the Applied Research and Technology Services organization, you will play a meaningful role crafting the operational backbone for high‑performance, reliable, and globally scaled machine learning services. In this role, you’ll work closely with multi-functional collaborators. These include Adobe Research, Adobe AI Platforms, and product engineering teams. Together, you will architect solutions that speed up innovation and improve service resilience. You will also provide technical leadership and define, document, and enforce guidelines adopted across teams. You will own technical direction for core service infrastructure and MLOps, influence architectural decisions across multiple teams, and raise the operational maturity of the organization through standards, reusable platforms, and mentorship. You will evaluate and introduce new infrastructure, optimization, and agentic technologies with clear value and adoption plans. This position is ideal for someone who thrives at the intersection of DevOps, MLOps, systems engineering, and automation.

Key Responsibilities

• Build and automate cloud infrastructure provisioning, scaling, and deployments using industry‑standard tools and infrastructure‑as‑code practices.
• Architect and implement end‑to‑end MLOps pipelines for packaging, deploying, and monitoring large‑scale ML services.
• Build and integrate telemetry agents to capture operational, performance, and inference metrics across distributed ML services.
• Build backend dashboards and observability workflows that surface quality, performance, traffic, and reliability insights for ML services.
• Lead the development of Agentic Ops solutions to optimize large-scale ML production workflows, reduce MTTR, and increase service engineering productivity.
• Develop and maintain robust CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins) enabling automated model conversion, optimization (PTQ/QAT), and artifact packaging.
• Drive standards in reliability, cost optimization, and operational readiness across service deployments.

Qualifications

• 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles
• Demonstrated experience designing and managing MLOps lifecycles, including model deployment, inference optimization, and production monitoring.
• Strong knowledge of CI/CD methodologies and tools such as GitOps, Docker, Terraform, GitHub Actions, GitLab CI, or Jenkins.
• Hands-on expertise with Kubernetes orchestration, including frameworks such as Kubeflow, Argo Workflows, or similar systems.
• Strong programming skills in Python, with experience building automation tooling for ML or DevOps workflows.
• Proficiency with observability and monitoring platforms (e.g., Prometheus, Grafana, Splunk, New Relic) for building reliable production systems.
• Experience optimizing distributed architectures for cost efficiency, reliability, and performance.
• Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) and model optimization tools such as ONNX, TensorRT, TFLite, AOT, etc., is a strong plus.

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 or call +1 408-536-3015.

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 $159,200 -- $301,600 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 California, the pay range for this position is $208,300 - $301,600

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 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.