Senior Backend Engineer

Wintermeyer Ventures; New York (NY); On-site; USD 220,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Wintermeyer Ventures seeks an experienced backend engineer to design and operate high-volume data pipelines for AI training. You will own systems end-to-end, implement safe recovery from failures, and build internal tools to monitor data quality.

Work with ML, platform, and security teams on new data types while keeping pipelines auditable and scalable. On-site in New York, Visa sponsorship available.

Qualifications

• 3 to 10 years of software engineering experience with ownership of production backend systems.
• Experience building and operating high-volume data processing systems that transform data.
• Strong distributed and asynchronous systems fundamentals: queues, workers, retries, and recovery.
• Backend depth in Python, Go, Rust, or Java.
• Experience with AWS and batch/workflow orchestration (Airflow, AWS Batch, SQS, S3, DynamoDB, PostgreSQL).
• STEM undergraduate degree and proven ownership and progression in early-stage or high-growth startups.

Responsibilities

• Build and scale multi-stage pipelines that de-identify enterprise data.
• Own backend systems from design to delivery, debugging, and recovery.
• Implement safe retries, checkpoints, backfills, and rollbacks for asynchronous workflows.
• Create internal tools and dashboards to monitor pipelines and data quality.
• Collaborate with ML, full-stack, platform, and security teams to support new data types.

Skills

Backend development

Distributed systems

Async programming

AWS

Education

STEM undergraduate degree

Tools

Airflow

AWS Batch

SQS

S3

DynamoDB

PostgreSQL

Job description

About the Role

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.

What You'll Do

• 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.

What We're Looking For

• 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.

Compensation & Benefits

Base salary is $220,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in New York, New York, United States.