Jobs / United States / Adobe INC
Senior AI/ DevOps Engineer
Adobe INC · 🇺🇸 San Jose
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 roles348 certified filings for “Software Development Engineer” (Software Developers) in CA: $174k–$227k, median $193k. Most were filed at wage level II (46%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen 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
Senior SRE — RTCDP Datastores & AI/ML Ops Adobe’s Real-Time Customer Data Platform (RTCDP) powers personalized experiences for some of the world’s largest brands. As a Senior SRE on this team, you’ll be central to keeping RTCDP reliable, scalable, and operationally excellent at global scale. This is a hands-on, high-ownership role at the intersection of production operations (Day 2 ownership) and core datastore engineering, with a growing surface area in operationalizing AI/ML services and workflows. What you’ll do Own production reliability • Own day-to-day reliability for RTCDP services — availability, performance, and durability against SLOs • Participate in on-call rotations and incident response, driving mitigation and recovery through SEV3–SEV1 events • Lead post-incident reviews and follow-up work • Strengthen operational readiness, playbooks, and on-call health • Partner with product and platform teams on production-ready launches and regional expansions Operate and evolve core datastores You’ll work across RTCDP’s distributed datastore ecosystem: Aerospike, FoundationDB, Postgres, and CosmosDB/DynamoDB. • Drive reliability, scaling, and operational excellence across these platforms • Own upgrades, capacity management, backup/restore, and DR testing • Build automation for provisioning, scaling, and lifecycle management • Identify and ship cost optimizations (rightsizing, storage/compute efficiency) Drive automation and observability • Build automation-first solutions that reduce toil and improve system safety • Improve monitoring, alerting, and observability — anchored to real customer impact • Establish standardized operational patterns across services and regions • Support the rollout of SLO-driven reliability practices Contribute to AI/ML Ops (emerging area) A complementary part of the role, not the primary focus. • Support infrastructure and operational needs for AI/ML-powered services in RTCDP • Shape operational practices for model serving and data pipelines — reliability, scaling, monitoring • Help land core MLOps patterns where relevant: model deployment workflows, inference observability (latency, errors), data quality and pipeline reliability signals • Partner with ML and data teams to get AI-driven features production-ready • Leverage AI-assisted tools (e.g., Copilot, Claude Code, Codex, internal tooling) to accelerate debugging, incident response, and operational workflows Technical leadership and collaboration • Operate as a strong IC and technical lead on cross-cutting projects • Mentor junior engineers and raise team practices • Partner closely with engineering, infrastructure, and security • Live the core SRE/DevOps principles: ownership, automation, error budgets, continuous improvement Why this role is interesting • Deep involvement in production systems at global scale • Hands-on ownership spanning operations and datastore platforms • Exposure to next-generation work: AI/ML systems and AI-assisted engineering • Direct impact on customer reliability, platform scalability, and cost • A clear path toward architect-level influence over time What we’re looking for • 6–10 years in SRE, infrastructure, or platform engineering • Proven track record operating large-scale distributed systems in production • Strong foundation in datastores, reliability engineering, and automation • Hands-on experience with Kubernetes and containerized environments, a major cloud (AWS, Azure, or GCP), and modern observability tooling (Prometheus, Grafana, OpenTelemetry, or equivalents) • Real experience in incident response and driving operational improvements out of it • Working knowledge of — or genuine interest in — AI/ML systems or MLOps (expertise not required) • Comfortable with scale,