Computer Scientist II

Computer Scientist II

• 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

• 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.

 

Experience Level

Senior Level