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