Staff+ Software Engineer - Data Infrastructure

Staff+ Software Engineer - Data Infrastructure

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.

You May Be a Good Fit If You :

• Have 8+ years of software engineering experience with 3+ years building data infrastructure, storage systems, or related distributed systems
• Have deep experience with at least one of :
• Cloud data platforms (BigQuery, Redshift, Snowflake) and orchestration tools (Airflow, dbt)
• Access control systems, IAM, authentication / authorization at scale
• Distributed storage systems, object storage (S3, GCS), disaster recovery
• 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
• Are comfortable with ambiguity and can independently scope and drive large projects

Strong Candidates May Also Have :

Technologies We Use :

Deadline to apply : None. Applications will be reviewed on a rolling basis.

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

$405,000 - $485,000 USD

Logistics

Education requirements : We require at least a Bachelor\'s degree in a related field or equivalent experience.

Location-based hybrid policy : Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship : We do sponsor visas! However, we aren\'t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you\'re interested in this work. We think AI systems like the ones we\'re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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