Machine Learning Ops Data Engineer (GCP)

Location: On site in Southlake, TX; Austin, TX; or Phoenix, AZ

Salary: USD $102,000–$185,000 per year

Company

hirify.global is a financial services company developing technology and security-related solutions for the finance industry.

What you will do

• Design and build production-ready AI/ML-powered security use cases on Google Cloud Platform.
• Lead end-to-end deployments from prototypes to production with clear quality gates.
• Implement coding standards, test strategies, data quality checks, alerting, and operational runbooks.
• Ensure platform reliability, security, and cost efficiency across production systems.
• Document and lead the resolution of technical debt.
• Mentor MLOps and data engineers while remaining hands-on with coding and delivery.

Requirements

• 8+ years of data or software engineering experience, including 2+ years in technical leadership.
• Expert-level Google Cloud experience with services such as BigQuery, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run or GKE, Composer or Airflow, IAM, and Cloud Monitoring or Logging.
• Expert Python, strong SQL and data modeling, and experience building scalable batch and streaming pipelines.
• Strong CI/CD, Docker, Git workflows, automated testing, release pipelines, cloud security, governance, and observability skills.
• Experience productionizing AI/ML systems, supporting critical production environments, and partnering with data scientists, MLE, and operations teams.
• Ability to work on site in Southlake, Austin, or Phoenix.

Culture & Benefits

• In-office collaboration with regular in-person work.
• Health, dental, and vision insurance.
• 401(k) with company match and employee stock purchase plan.
• Paid vacation, volunteering time, parental leave, and family-building benefits.
• Tuition reimbursement and a 28-day sabbatical after every five years of service for eligible positions.