Jobs / United States / Adobe INC
Senior Site Reliability Engineer
Adobe INC · 🇺🇸 New York
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,036 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 221 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Adobe INC paid sponsored hires in similar roles10 certified filings for “Software Development Engineer” (Software Developers) in NY: $132k–$199k, median $168k. Most were filed at wage level II (40%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 2 days agoWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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.
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Sponsor Radar — Adobe INC
The US Department of Labor certified 1,036 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 221 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Adobe INC →
About the role
The Challenge The Adobe Creative Community CCM organization is seeking an outstanding Senior Site Reliability Engineer (SRE) to support innovation through machine learning, autonomous AI workflows, and cloud-native infrastructure. Adobe Stock gives designers and businesses access to hundreds of millions of curated, royalty-free assets that integrate directly with Adobe's desktop, mobile, and web apps, as well as Behance's creative community and Content's advanced services. Our infrastructure spans multiple cloud platforms and is orchestrated by cloud-native, containerized systems as we build the framework for Adobe's next wave of AI-powered products. The team blends startup energy with the resources of a large software company. What you'll do This is a role for engineers who want it all — design work, ML systems, and operational ownership. On-call and incident response come with the territory, but they're the proving ground, not the job. • Design, build, and operate large-scale, distributed, fault-tolerant systems, and the IaC, CI/CD, and automation tooling behind them • Own patch, vulnerability, and golden-image lifecycle management across the fleet — triage, remediate, automate • Contribute to multi-quarter initiatives: compute rationalization, cloud re-platforming, ML platform migration • Build and operate ML inference infrastructure — model serving, GPU workloads, language model gateway and routing — contributing to a broader systems portfolio • Help set infrastructure standards and security guardrails for agentic AI, and build the agent tooling we used to run our own operations • Partner across software, ML, and platform teams to bake reliability in from the start • Share on-call and fix challenges wherever problems show up — web services, databases, pipelines, ML systems What you need to succeed You're a self-starter — passionate, motivated, and comfortable working remotely. Some SDE background helps, but a willingness to build that skill matters more. It is important that you understand how software and systems come together and operate internet-hosted applications. You should also know your way around the infrastructure toolchain, including provisioning, config management, patch/image management, and container orchestration. You don't need to possess the qualifications of an ML engineer, but you should understand ML capabilities and how inference pipelines and model-serving systems work. Requirements Must have: • BSc in Computer Science or equivalent experience in a practical setting • Python, plus familiarity with PHP, Node.js, or Ruby • Familiarity with deploying/operating ML inference pipelines (SageMaker, OpenAI, Bedrock, or equivalent) in production • Experience operating cloud-native compute over broad, scalable infrastructures — EC2 Auto Scaling Groups and Kubernetes in AWS; Azure/GCP a plus. • Experience with vulnerability/patch management and AMI/golden-image lifecycle automation at fleet scale • Strong debugging skills on distributed systems • Willingness to participate in on-call rotation Nice to have: • Production ML operations experience at any scale • GPU-backed compute and cost/performance tuning experience • Exposure to agentic AI workflows — LangGraph or similar, LLM gateway/routing across providers • Relational database operations experience (upgrades, IAM auth, performance tuning) Technologies we use • Cloud & Orchestration: AWS (primary), Azure, GCP, Kubernetes, Lambda • Edge & Security: Fastly, Datadome, WAF • ML/AI: SageMaker, Bedrock, vLLM, LangGraph, LangSmith, LLM gateway, MCP • Data & Caching: Aurora PostgreSQL, Memcached • IaC & Automation: Terraform, Terragrunt, Atlantis, Chef, Ansible, SSM, Docker • Languages: Python, PHP, bash, Ruby • CI/CD: Jenkins, Argo CD • Ob