Senior Platform Engineer

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November 21

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The Motley Fool

WebsiteLinkedInAll Job Openings

Finance • Media • Education

The Motley Fool is a financial services company founded in 1993 by brothers Tom and David Gardner. It aims to make the world smarter, happier, and richer by helping millions of people attain financial freedom. The Motley Fool offers premium investing solutions, free market analysis on its website Fool. com, personal finance education, podcasts, and manages the non-profit Motley Fool Foundation. The company provides guidance on stock market news, investing strategies, retirement planning, and personal finance products, striving to empower investors through refreshing, engaging, and fun financial content.

501 - 1000 employees

Founded 1993

💸 Finance

📱 Media

📚 Education

💰 $25M Private Equity Round on 2009-11

📋 Description

• Modernizing and enhancing our platform end to end, from CDN to Kubernetes and everything in between. • Collaborating with development teams to troubleshoot issues and improve performance for our Next.js and Django based applications. • Accelerating our CI/CD processes to reduce time-to-market for stakeholders. • Optimizing infrastructure and application costs.

🎯 Requirements

• 7+ years of experience in platform engineering within a product-focused company. • Startup experience: You understand the challenges that come with scaling and maturing a platform. • Hands-on experience running self-hosted Next.js and Django applications on Kubernetes. • A focus on developer experience, including improving local development workflows and mentoring team members. • Strong background in automation and observability, including managing code lifecycle from development to production and using tools like CloudWatch and Datadog to optimize performance across environments. • Advanced Terraform skills for building reproducible, scalable environments, including AWS-hosted applications, event-driven systems, containerized services on Kubernetes, and serverless functions. • Experience supporting data, AI, or machine learning workloads in the cloud is a plus.