Staff Data Platform Engineer – Remote & AI-Driven Backend

Machinifyinc

United States

On-site

USD 230,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Remote work
Healthcare
Flexible environment
Unlimited PTO
401k with match

Job summary

Machinify is a leading healthcare intelligence company delivering value across the payment continuum. We are seeking a Staff Software Engineer to join the Data Platform Development Team, building scalable data software with Golang and Python, deploying Kubernetes-based systems, and advancing AI-driven solutions across our platform.

You will work with a team of engineers, data experts, and innovators to ensure performance, reliability, and extensibility as our platform scales for healthcare

Qualifications

  • 8+ years of backend software development experience.
  • Expertise in Golang and/or Python.
  • Experience with agentic AI.
  • Proficient in ETL processes, data pipelines, and large datasets.

Responsibilities

  • Architect, design, and build scalable data software using Golang and Python.
  • Build Kubernetes-based systems for cloud-native environments.
  • Collaborate with cross-functional teams to address customer needs.
  • Optimize performance, reliability, and security of backend infrastructure.
  • Contribute to AI-driven solutions and data platform enhancements.
  • Mentor teammates and drive engineering excellence.

Skills

Golang
Python
Backend development
Kubernetes
Cloud platforms
ETL
Data pipelines
CI/CD
Observability
Agentic AI

Tools

Apache Airflow
Prefect
ELK stack
Prometheus
Grafana

Job description

Machinify is a leading healthcare intelligence company delivering value across the payment continuum. We are seeking a Staff Software Engineer to join the Data Platform Development Team, building scalable data software with Golang and Python, deploying Kubernetes-based systems, and advancing AI-driven solutions across our platform.

You will work with a team of engineers, data experts, and innovators to ensure performance, reliability, and extensibility as our platform scales for healthcare

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