Data Platform Engineer (AI)

TL;DR

Data Platform Engineer (AI): Designing and operating a large-scale data platform architecture for AI applications with an accent on data ingestion, transformation, processing, and storage best practices. Focus on building and maintaining data pipelines, improving AI infrastructure, and optimizing data workloads.

Location: Remote, with preference for candidates based near our hubs in San Francisco, Los Angeles, or New York City. Unfortunately, we are unable to sponsor visas at this time.

Salary: $200K – $250K

Company

hirify.global is on a mission to return time as the leading AI Time platform for professional services firms, transforming how organizations capture, analyze, and optimize their most valuable resource: time.

What you will do

• Design and evolve hirify.global's global large-scale data platform architecture.
• Design and operate large-scale data pipelines processing millions of events per day.
• Build, improve, and maintain Airflow DAGs, and optimize MongoDB and PostgreSQL usage for data workloads.
• Design and operate streaming data infrastructure, including migrations to modern event-driven architectures (e.g., Kafka).
• Develop and manage Kubernetes, Docker, and compute infrastructure for all of engineering.
• Improve continuous integration, continuous deployment, and other automation.

Requirements

• Strong Python skills with experience building and deploying APIs to support AI/ML teams in delivering models to end users.
• Experience with Airflow, Kubernetes, and AWS.
• Experience with machine learning infrastructure and large language models.
• Development experience with Terraform.
• Experience working in startup environments.
• Experience participating in a regular engineering on-call rotation.
• Experience with PostgreSQL and MongoDB.
• Experience with OLAP systems (Snowflake, Clickhouse, etc)
• Experience with AI Specific Databases (Vector Databases for example)
• Experience with event streaming platforms (e.g., Kafka, SQS).

Nice to have

• Experience with Argo (Workflows and/or CD).
• Experience with cdk8s.
• Experience with OpenTelemetry and observability platforms (e.g., Observe, Datadog).
• Experience with Spacelift.
• Experience with CircleCI and/or GitHub Actions.
• Experience with TypeScript and Go.

Culture & Benefits

• Comprehensive medical/dental/vision coverage with covered premiums, 401(k), and additional benefits including wellness, commuter, and FSA stipends.
• A smart, fun, collaborative, and inclusive team.
• Great employee benefits, including equity and 401K.
• Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team.
• An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time.