Senior Platform Engineer

The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter happier and richer. For 30 years we have been helping people make better investment decisions through transparency education and Foolish fun. We are a fast-moving collaborative team that values high-quality work curiosity and initiative. We care deeply about what we do and we are driven by the impact our work has on real people’s financial futures.

We are looking for a Senior Platform Engineer who excels at designing implementing and maintaining scalable systems and infrastructure. As a key member of The Motley Fool’s CloudOps team you will play a crucial role in building and managing our AWS cloud infrastructure and supporting services. You will oversee application deployment pipelines maintain multiple environments and help shape the best solutions for recurring challenges. This role is technical and hands-on requiring a deep understanding of cloud platforms networking software design operations automation and containerization.

What You’ll Be Doing

In this role you can expect to spend roughly:

• 40% modernizing and enhancing our platform end to end from CDN to Kubernetes and everything in between.

• 30% collaborating with development teams to troubleshoot issues and improve performance for our Next.js and Django based applications.

• 20% accelerating our CI/CD processes to reduce time-to-market for stakeholders.

• 10% optimizing infrastructure and application costs.

What We Are Looking For

• 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.

This is a dynamic environment where rapid communication inventive problem-solving and creative solutions are both essential and encouraged. We strive for excellence in our work while also valuing a strong work-life balance ensuring sustainable growth and long-term success for both our team and our projects.

Annual Pay Range

$160000—$190000 USD