Computer Scientist II

The Developer Platforms team at Adobe is on a mission to build, deploy, operate, and scale the core systems that power Adobe solutions used by millions of customers worldwide. We are looking for experienced Senior Platform / Site Reliability Engineers (SREs) to help design and operate highly reliable, scalable infrastructure that will shape the future of Creative Cloud and Adobe’s Digital Media business.

This role focuses on cloud infrastructure, Kubernetes platforms, service mesh, and developer enablement , with a strong emphasis on automation, resilience, and platform abstraction . You will act as a force multiplier, enabling engineering teams to build and operate services efficiently through robust platform capabilities.

Drive adoption of Infrastructure as Code (Terraform) and enforce platform engineering guidelines and standards

Define, implement, and continuously improve SLIs, SLOs, and error budgets for Project Graph HTTP APIs and asynchronous compute platforms

Standardise and optimise Kubernetes-based deployments , scheduling, and resource management for performance and cost efficiency

Build and enable self-service infrastructure platforms that empower product teams and improve developer productivity

Lead the adoption of intelligent software solutions (AI agents and MCPs) to reduce operational toil and improve automation at scale

Define and enforce platform-wide observability standards , covering metrics, logging, tracing, and alerting

Design, build, and maintain robust observability systems to enable rapid detection, diagnosis, and resolution of issues

Lead incident response , drive blameless postmortems , and ensure effective follow-through to prevent recurrence

Improve the reliability, scalability, and performance of asynchronous job scheduling systems built on Kubernetes and Postgres

Design, maintain, and optimise CI/CD pipelines to ensure fast, safe, and reliable software delivery

Own data protection and resilience strategies , including backups, restoration testing, and disaster recovery planning

Architect and implement cloud infrastructure (AWS) aligned to reliability, scalability, performance, and cost optimisation goals

Reduce operational toil through automation, tooling, and platform improvements , partnering closely with developers to build reliability by design

Establish and drive guidelines in incident management, reliability engineering, and operational excellence

Contribute to evaluating system demand, load testing, and performance engineering to ensure systems scale predictably

Ensure security and compliance guidelines are embedded in platform build and operations (e.g., least privilege, secrets management, secure configurations)

Participate in an on-call rotation , supporting production systems and driving continuous improvement in operational readiness

What you need to succeed:

Bachelor’s degree in Computer Science (or equivalent practical experience)

8–10 years of experience in Site Reliability Engineering, Platform Engineering, Infrastructure, or Backend Development with a strong operational and production focus

AI‑First & Automation Mindset

Demonstrated AI-first and automation-first attitude across SRE functions

Hands-on experience or exposure to AI Agents, MCPs, and AIOps to drive operational efficiency and reduce toil

Proven ability to identify, prioritise, and eliminate operational toil through automation and intelligent tooling

Cloud, Containers & Platform Engineering

Deep expertise in Kubernetes in production, including scaling, performance tuning, resolving challenges, and workload optimisation

Strong experience with containerisation (Docker),Argo and modern deployment patterns

Hands-on experience designing and operating cloud-native systems on AWS

Proficiency in Infrastructure as Code (Terraform) and cloud automation

Programming & Systems Engineering

Strong programming skills in Golang and/or Python , with experience building production-grade systems and tooling

Experience with Node.js/TypeScript or similar backend technologies is a plus

Solid understanding of Linux systems, networking fundamentals, REST APIs, and distributed systems design

CI/CD & Developer Productivity

Strong experience with CI/CD pipelines and tooling (e.g., Argo, Jenkins, Github Actions, CircleCI)

Ability to design and maintain scalable, reliable build and deployment systems

Observability & Reliability Engineering

Strong expertise in observability practices , including metrics, logging, tracing, and alerting

Hands-on experience with tools such as Prometheus, Alertmanager, OpenTelemetry, Jaeger, New Relic , or similar

Experience defining and operating SLIs, SLOs, and error budgets

Experience with incident response, production operations , and driving blameless postmortems

Data & Persistence Layer Expertise

Experience operating production-grade databases (Postgres, MySQL/Aurora, Redis, or similar)

Strong understanding of data protection, backups, resilience, and disaster recovery (build and testing centered on recovery time objectives and recovery point objectives)

Scalability, Performance & Cost Optimisation

Experience with forecasting resource needs, performance tuning, and load testing

Ability to design systems that balance reliability, performance, and cost efficiency

Security & Compliance

Strong understanding of application and infrastructure security guidelines, including API security, IAM, secrets management, and secure system development

Familiarity with regulatory and compliance frameworks such as FedRAMP, SOX, and HIPAA , and experience incorporating these requirements into platform design and operations

Ability to implement and operate systems aligned with security, auditability, and compliance standards in regulated environments

Collaboration & Leadership

Strong communication skills with the ability to influence engineering teams and drive reliability guidelines

Proven ability to partner with developers and platform teams to build reliability into systems from the ground up

Demonstrated ownership approach and ability to drive initiatives end-to-end

Growth Mindset

Curiosity and ability to learn and adapt to new technologies quickly

Passion for continuous improvement, operational excellence, and sustainable engineering practices

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 .