Senior Software Engineer (Data Platform)

Machinify

16d • Remote

About The Position

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
We’re seeking a skilled Senior Software Engineer to join our team!
The Data Platform Development Team builds the internal systems that power and extends the Machinify platform. We focus on creating scalable, reliable infrastructure that enables seamless communication, data processing, and analytics across our products and customer-facing systems.
Working closely with the core Machinify platform—written in Scala—we act as internal platform customers, designing and building orchestration and supporting services in Golang that sit on top of the core engine. Our team develops internal products and analytics capabilities that enhance performance, reliability, and extensibility across the organization, ensuring our platform can scale alongside our customers and AI-driven use cases.
The ideal candidate will have expertise in data platforms. In this role, you will design and build high-performance backend systems that power our AI-driven solutions. You’ll work alongside a collaborative team of passionate engineers, data experts, and innovators to deliver impactful software that drives business success.
Does this sound like the right opportunity to explore?... Lets connect!

Requirements

• 6+ years of hands-on experience in backend software development, with expertise in Golang and/or Python.
• Strong understanding of ETL processes, data pipelines, and working with large datasets.
• Experience with Kubernetes orchestration, containerization, and cloud-native development.
• Proficiency in building scalable systems that handle high volumes of data and transactions.
• Knowledge of cloud platforms (AWS, Azure, or GCP) and their ecosystem tools.
• Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana).
• Strong problem-solving skills and a passion for writing clean, maintainable code.
• Experience with data modeling, transformation, and integration.
• Golang and Python experience.
• Experience with orchestration tools (e.g., Apache Airflow, Prefect).
• Familiarity with Kubernetes and container orchestration (Docker, Helm, etc.).
• Cloud platform experience (AWS, Azure, or GCP) and related services.
• Knowledge of monitoring and logging tools for distributed systems (Prometheus, Grafana, ELK stack).
• Experience with CI/CD pipelines and automated testing.
• Strong understanding of data modeling, ETL workflows, and data transformation techniques.

Responsibilities

• Design and build scalable and high-performance data software solutions using Golang and Python.
• Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
• Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
• Optimize performance, reliability, and security of our backend infrastructure.
• Work on data modeling and transformation to support machine learning workflows and AI-powered applications.

Benefits

• Work from anywhere in the US! Machinify is digital-first.
• Full Medical/Dental/Vision for employees & their families
• Flexible and trusting environment where you’ll feel empowered to do your best work
• Unlimited FTO
• Competitive salary, equity, 401(k) including employer match

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed