AI/ML Ops and Data Engineer (GCP)

Location: On-site in Southlake, Texas; Austin, Texas; or Phoenix, Arizona

Salary: $134,800–$195,000 per year

Company

hirify.global is a financial services company transforming the finance industry through technology and innovation.

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 prototype through production with clear quality gates.
• Implement coding standards, testing strategies, data quality checks, alerting, and operational runbooks.
• Ensure platform reliability, security, scalability, and cost efficiency.
• Document and lead the resolution of technical debt.
• Mentor MLOps and data engineers while remaining hands-on with code and delivery.

Requirements

• 8+ years of experience in data or software engineering, including 2+ years in technical leadership.
• Expert-level Google Cloud experience, especially 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, and release pipeline skills.
• Experience with cloud security, governance, observability, reliability engineering, incident response, and production support.
• Understanding of the AI/ML lifecycle and experience partnering with data scientists, MLE, and Ops teams.

Culture & Benefits

• In-office collaboration is emphasized for this role.
• 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 five years for eligible positions.