Computer Scientist II
Adobe INC · 🌍 Bangalore
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Adobe INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Adobe INC →
About the role
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 mod