Adobe jobs

Senior Data Science Engineer at Adobe (Firefly team, San Jose) builds scalable data pipelines, ETL/ELT workflows, and reporting infrastructure for finance, credit metering, and AI analytics. Requires BS/MS/PhD in analytical field, 5+ years hands-on data engineering, expert SQL/Python, and deep Databricks/Spark/dbt/Airflow proficiency. Full-time, on-site San Jose. Focus is data architecture, ML feature engineering, and self-serve analytics—not GTM operations.

Senior Site Reliability Engineer at Adobe (San Jose/Seattle/San Francisco offices) focused on reliability, observability, and operational excellence for Project Graph's HTTP APIs and async compute platform. Responsibilities include SLO/SLI definition, incident response, Kubernetes/AWS automation, database resilience, and CI/CD improvements. Requires 5–10 years SRE/infrastructure background.

Manager, Applied Science for Data at Adobe leads the training data ecosystem and ML pipelines powering Firefly generative AI products across imaging and video. Requires Ph.D./Master's in CS/ML, 5+ years engineering leadership, and deep expertise in ML data lifecycles, synthetic data, and generative models. Located in San Jose, Seattle, or San Francisco (full-time, onsite). The role is highly technical and science-focused rather than GTM operations.

Software Development Engineer at Adobe's B2B CDP team (Adobe Experience Platform) building scalable applications using Databricks, Spark, Scala, Java, Kubernetes, and microservices. Requires 5+ years SWE experience, strong Databricks/Spark/Scala/Java expertise. On-site in San Jose, CA. Role emphasizes distributed backend systems, big-data optimization, and cloud infrastructure over full-stack product development.