Staff+ Software Engineer, Data Infrastructure
Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · Software Engineering - Infrastructure · listed February 13, 2026
The shape of it
Seniority
Staff
Experience asked
3–10 years
Where
Hybrid
Stated pay
$405,000 – $485,000 USD
Requirements listed
8
Length
1,301 words
In the posting’s own words
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.
What it asks for · 8
- 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
- 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)
- Experience with security and compliance requirements (ITGC, GDPR, financial controls)
- Experience with Kubernetes, containerization, and cloud-native architectures
- Track record of improving data reliability, availability, or cost efficiency at scale
Also a plus
- 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
What the job covers
- 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.
Tools and skills named
Data
- Airflow3×
- dbt3×
- Spark3×
- Data pipelines2×
- ETL2×
- Data warehouse
Security & compliance
- Security6×
- Audit2×
- IAM2×
- GDPR
Cloud & infra
- AWS2×
- GCP2×
- Kubernetes2×
- Terraform2×
- Distributed systems
Languages
- Go2×
- Python2×
- Java
- SQL
Words the posting leans on
- data31×
- systems18×
- infrastructure12×
- access9×
- control9×
- cloud8×
- storage8×
- experience7×
- financial7×
- scale7×
- build6×
- pipelines6×
- reliability6×
- security6×
- access control5×
- availability5×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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