Software Development Engineer

Adobe's Reliability Engineering team is looking for a Site Reliability Engineer (SRE) to help build and operate large-scale products like Adobe Document Cloud. Adobe Document Cloud is the complete solution for creating, editing, sharing, signing, and managing documents and PDFs across desktop, web, and mobile. Bringing together Adobe Acrobat, Acrobat Sign, and a suite of cloud-based PDF and document services, Document Cloud lets people and organizations turn manual, paper-based processes into fast, secure, connected digital workflows — from any device, anywhere.

We are passionate about what we do and are looking for experienced, motivated people to join a hardworking team. We believe in diversity and encourage all to apply. You have a track record as a Site Reliability Engineer or eager to build a career in large-scale SaaS businesses, and a strong desire to implement initiatives and systems to improve reliability, availability, security, and privacy. You are familiar with DevOps and other agile methods. You thrive solving problems in real-time under pressure.

The Role!

• Build amazing things that matter. You'll work on a critical growth initiative, solving problems for engineers and customers.

• Grow. Sharpen your skills, use innovative technology, and collaborate with your peers.

• Collaborate. You'll love working in an environment that values collaboration.

What You'll Do

• Ensure the highest level of uptime and Quality of Service (QoS) to Adobe's customers through operational excellence

• Help with defining service level objectives (SLOs) and service level indicators (SLIs) to represent and measure service quality

• Embed with product teams (physically and/or virtually) to develop tight-knit collaboration/partnership

• Identify areas to improve service resiliency through techniques such as performance/load testing, code review, and Chaos engineering

• Support and maintain globally distributed multi-cloud (public and/or private) environments including AWS and Azure

• Automate common, repeatable tasks at a large scale to reduce toil

• Apply AI/ML and generative-AI techniques to reliability engineering — anomaly detection, predictive alerting, automated root-cause analysis, and log/metric correlation — and build AI-enabled automation and agents that reduce toil and accelerate incident response

• Solve performance and stability issues using a wide variety of tools

• Participate in an on-call rotation as required

• Determine the root cause for all production level incidents and write corresponding high-quality RCA reports

• Mentor junior engineers and share knowledge across teams; may serve as a technical lead on reliability initiatives

• Promote the DevOps/SRE mentality

What You Bring

• BS in Computer Science or equivalent work experience; higher degree preferred

• 5-7 years of experience in SRE or related field

• Deep understanding of both software engineering and technical operations

• Expertise with container orchestration engines such as Kubernetes (EKS, AKS) and Elastic Cloud on Kubernetes (ECK)

• DevOps skills (scrum/Kanban/agile/ci-cd/12-factor)

• Experience in modern cloud-based, SaaS delivery technologies: Kubernetes, AWS, Azure, Jenkins, Git, Atlassian Jira and Confluence, Linux, DNS, E-mail, containers, log analysis, monitoring, Java, Apache, Tomcat, Memcached, Qpid, and MySQL on Linux

• Programming skills, particularly with Python, Java, Ruby, various scripting languages

• AI/ML skills for modern SRE, including:

  • Hands-on experience with AIOps — applying machine learning to observability, alerting, and automated remediation
  • Experience using AI coding assistants such as Claude and Claude Code, and building AI agents to automate runbooks, ChatOps, incident response, and other operational workflows
  • Effective prompting techniques and responsible use of AI-assisted development tools
  • Understanding of operating, observing, and scaling AI/ML workloads (including GPU infrastructure and model-serving/inference monitoring) in production

• Excellent communication, interpersonal, and teamwork skills

• Familiarity with Prometheus, Grafana, NewRelic, Splunk, other logging solutions

• Familiar with a variety of cloud and automation concepts, practices, and procedures

• Must be able to support a FedRAMP Moderate environment; U.S. Citizenship or Green Card (Permanent Resident) required.

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 California, 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 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.