Senior Software Engineer, Data Platform

🕒 Abril 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $220.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Machinify

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

☁️ SaaS

💰 $10.000.000 Series A - Machinify em 2018-10

Healthcare Insurance • Artificial Intelligence • SaaS

A Machinify é uma empresa de plataforma e serviços de IA focada em saúde que transforma pagamentos e a integridade de pagamentos no setor. Seu sistema operacional de IA unifica reivindicações, prontuários médicos, contratos e políticas, utilizando modelos fundamentais e agentes específicos de tarefas para automatizar e aprimorar a codificação, precisão de pagamentos, recuperações e prevenção de custos. A Machinify atende planos de saúde (incluindo 18 dos 20 maiores), oferece implantações internalizadas, híbridas ou totalmente gerenciadas e enfatiza resultados mensuráveis — relatando mais de 85 clientes, 270 milhões de vidas cobertas e mais de 6 bilhões de dólares em prevenção de custos e recuperações anuais.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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