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.
What you'll do:
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
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
.