# Staff+ Software Engineer, Data Infrastructure at Anthropic > Remote · United States · Staff · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/greenhouse%3Aanthropic%3A5114768008 (read 2026-11-07). ## Facts (observed) - Company: [Anthropic](https://alderhq.app/companies/anthropic) - Location text: Remote-Friendly (Travel-Required) \| San Francisco, CA \| Seattle, WA \| New York City, NY; New York City, NY; San Francisco, CA; Seattle, WA - Where it can be done from (inferred): Remote · United States (evidence: "Location: Remote-Friendly (Travel-Required) \| San Francisco, CA \| Seattle, WA \| New York C") - Posted: 2026-02-13 (267 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/anthropic/jobs/5114768008 - Skills listed (inferred): Python, Go, Java, AWS, GCP, Kubernetes, Terraform, Spark, Airflow, dbt, SQL, Distributed systems ## Pay and sponsorship - Posted pay: $405k–$485k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 122): p25 $230k, median $257k, p75 $300k - H-1B filings at this company for similar roles, FY26: 4, median offered wage $216k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Licensed UK sponsor: registered as "Anthropic Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) ### About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. ### About the role Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. ### Responsibilities Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. ### You might be a good fit if you - Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems - Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead - Can set technical direction for a team, not just execute within it - Have deep experience with at least one of: - Strong proficiency in programming languages like Python, Go, Java, or similar - Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) - Can navigate complex technical tradeoffs between performance, cost, security, and maintainability - Have excellent collaboration skills - you work well with both technical and non-technical stakeholders ### Strong candidates may also have - Experience with security and compliance requirements (ITGC, GDPR, financial controls) - Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure - Experience with Kubernetes, containerization, and cloud-native architectures - Track record of improving data reliability, availability, or cost efficiency at scale - Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks - Experience working in fintech, financial services, or highly regulated environments - Security engineering background with focus on data protection and access controls ### Technologies We Use - Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran - Storage: GCS, S3 - Infrastructure: Terraform, Kubernetes, GCP, AWS - Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aanthropic%3A5114768008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.