Data Operations Engineer - ML Infra & Real-Time Analytics

MassGenics, Inc.

Austin (TX)

Híbrido

USD 114.000 - 125.000

Jornada completa

Hace 9 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Medical & pharmacy coverage
Dental/vision insurance
401(k)
Health savings account (HSA) and FSA
Life Insurance
Pet Insurance
Short term and Long term Disability
Accident & Critical illness coverage
Pre-paid legal & ID theft protection
Sick time
other types of paid leaves
Employee Assistance Program (EAP)

Descripción de la vacante

Innova Solutions is hiring a Data Operation Engineer for an onsite Austin, TX contract (W-2) of 6+ months. The role centers on operating data analytics systems and ML infrastructure in hybrid cloud, ensuring reliable batch and real-time processing.

The ideal candidate will have experience with machine learning infrastructure, data analytics, Splunk, and Scala/Go, and will collaborate with infrastructure, product, and engineering teams to deliver quality results.

Formación

  • Lead day-to-day operations to ensure organizational delivery of quality results.
  • Responsible for provisioning, enabling, scaling and maintaining our team’s data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud.

Responsabilidades

  • CI/CD pipelines and cloud environments like Gitlab, Spinnaker, Docker/Kubernetes observability using Splunk, Grafana/Data do.

Conocimientos

ML infrastructure
Data analytics
Operational data
Splunk
Scala/Go

Herramientas

GitLab
Spinnaker
Docker/Kubernetes

Descripción del empleo

Innova Solutions is hiring a Data Operation Engineer for an onsite Austin, TX contract (W-2) of 6+ months. The role centers on operating data analytics systems and ML infrastructure in hybrid cloud, ensuring reliable batch and real-time processing.

The ideal candidate will have experience with machine learning infrastructure, data analytics, Splunk, and Scala/Go, and will collaborate with infrastructure, product, and engineering teams to deliver quality results.

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