Anthropic
Staff+ Software Engineer, Data Infrastructure
$405K–$485K
Remote-Friendly (Travel-Required) +6 · Remote · Staff · Full-time · Posted Feb 13, 2026
- Location
- Remote-Friendly (Travel-Required)
San Francisco, CA
Seattle, WA
New York City, NY
New York, New York, United States
San Francisco, California, United States
Seattle, Washington, United States - Experience
- 10+ years in a Software Engineer role; 3+ years leading large-scale, complex projects or teams. Internships and co-ops do not count. The posting also says required years correlate with internal job-level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is offered, but not available for every role or candidate; if an offer is made, the company will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Build and scale secure, reliable data infrastructure for governance, financial reporting, cloud storage, and organization-wide analytics.
What you'll do
- Design access-control, permission management, audit logging, and compliance infrastructure.
- Build and maintain financial data pipelines and warehouses, and own reliability of business-metrics systems.
- Architect cloud storage backup, replication, disaster recovery, and data-platform systems.
What they ask for
- 10+ years of software engineering experience in data infrastructure, storage, or related distributed systems, excluding internships or co-ops.
- 3+ years leading large-scale, complex projects or teams as an engineer or tech lead, excluding internships or co-ops.
- Ability to set technical direction and navigate tradeoffs among performance, cost, security, and maintainability.
- Deep experience in at least one relevant area: programming languages; infrastructure-as-code and cloud platforms; or related infrastructure expertise.
Nice to have
- Experience with security and compliance, data warehousing or analytics infrastructure, Kubernetes, data reliability at scale, or regulated industries.
- Knowledge of column-oriented databases, OLAP systems, or big-data processing frameworks.
Pay
$405,000 — $485,000 USD (base salary)
Tools
BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, GCS, S3
Model-written summary · the original posting is authoritative