Staff Software Engineer (Data Platform)

Machinify; United States; On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Full Medical/Dental/Vision for employees & families

Unlimited Flexible Time Off

401(k) with employer match

Competitive salary and equity

Job summary

Machinify is hiring a Senior Software Engineer to develop robust data solutions using Golang and Python. You will design scalable infrastructure and optimize backend performance for healthcare intelligence systems. The role requires 6+ years of experience in backend development, especially with Golang and Python, and knowledge of cloud platforms and ETL processes. Employees enjoy a flexible environment, full medical benefits, and competitive salaries ranging from $180k to $220k, along with unlimited flexible time off.

Qualifications

• 6+ years of experience in backend software development.
• Expertise in Golang and Python.
• Strong understanding of ETL processes and data pipelines.

Responsibilities

• Design and build data software solutions using Golang and Python.
• Build and deploy Kubernetes systems for cloud-native applications.
• Collaborate with teams to enhance performance and reliability.

Skills

Golang

Python

ETL processes

Kubernetes

Cloud platforms (AWS, Azure, GCP)

Data modeling

CI/CD pipelines

Problem-solving

Tools

Prometheus

Grafana

Docker

Apache Airflow

Job description

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 extend 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.

What You’ll Do

• 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.

What You Bring

• 6+ years of hands‑on experience in backend software development, with expertise in Golang and/or Python.
• Strong experience with agentic AI.
• Python and/or Golang experience.
• 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 (Prometheus, Grafana).
• Strong problem‑solving skills and a passion for writing clean, maintainable code.
• Experience with data modeling, transformation, and integration.
• Experience with orchestration tools (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.

What We Offer

• 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.

Equal Employment Opportunity at Machinify

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment‑at‑will employer. We participate in E‑Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/.

Salary for this position is based on an array of factors unique to each candidate: years and depth of experience, set skills, certifications, etc. The base salary range for this role is $180k-$220k. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.