Staff+ Software Engineer, Data Infrastructure

Anthropic
San Francisco, Seattle
Workplace: HybridFull timeUSD 405,000 - 485,000 annuallyFunction: Software EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Leadership","Problem-solving"]

Senior-level data infrastructure engineer shaping secure, scalable data platforms. You’ll design and operate data pipelines, access controls, and cloud storage reliability, collaborating with data scientists, analysts, and business partners to enable trusted, fast data-driven decisions across a privacy-conscious org.

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FursaFursa
Anthropic
Anthropic
6 months ago

Staff+ Software Engineer, Data Infrastructure

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Senior-level data infrastructure engineer shaping secure, scalable data platforms. You’ll design and operate data pipelines, access controls, and cloud storage reliability, collaborating with data scientists, analysts, and business partners to enable trusted, fast data-driven decisions across a privacy-conscious org.
Location: San Francisco, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •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.
  • •(Optional) Collaboration with data scientists, analysts, and business stakeholders to balance performance, cost, security, and maintainability across data platforms.

Pay and Benefits

Salary: USD 405,000 - 485,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveParental LeaveEquityFlexible Hours

Key Requirements

  • •10+ years of experience as a Software Engineer building data infrastructure, storage systems, or related distributed systems (excluding internships)
  • •3+ years leading large-scale, complex projects or teams as an engineer or tech lead
  • •Ability to set technical direction for a team, not just execute within it
  • •Strong proficiency in Python, Go, Java, or similar
  • •Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
Experience:10+ yearsFintechFinancial services
Education:Bachelor's
Skills:CommunicationCollaborationLeadershipProblem-solving
Languages:English
Tech Stack:BigQueryBigTableAirflowCloud ComposerDbtSparkSegmentFivetranGCSS3TerraformKubernetesGCPAWSPythonGoSQL

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn