Senior Backend Engineer

Join a small engineering team at an AI data infrastructure company to build and operate backend systems that prepare sensitive enterprise data for AI training. You will help ensure high-volume data pipelines are reliable auditable and safe to recover when failures occur.

• Build and scale multi-stage pipelines that de-identify enterprise data from communication email document code and project management sources.
• Own backend systems from design and delivery through debugging correctness checks and recovery.
• Make retries checkpoints partial failures replay backfills and rollbacks safe across asynchronous workflows batch workers queues and object storage.
• Build internal tools and dashboards to monitor pipeline performance investigate data quality and support release decisions with queryable provenance.
• Work with machine learning full-stack platform and security teammates to support new data types and pipeline capabilities.

• 3 to 10 years of software engineering experience including personal ownership of production backend systems.
• Experience building and operating high-volume data processing systems that transform data not only move it between systems.
• Strong distributed and asynchronous systems fundamentals including queues workers concurrency idempotency retries and recovery from partial failures.
• Backend depth and strong experience in a general-purpose language such as Python Go Rust or Java.
• Experience with AWS and batch or workflow orchestration. Relevant technologies include Airflow AWS Batch SQS S3 DynamoDB and PostgreSQL.
• Meaningful early-stage or high-growth startup experience a STEM undergraduate degree and a track record of ownership and progression.

Base salary is $220000 to $300000 annually. Visa sponsorship is available.

On-site in New York New York United States.