Senior Backend Engineer, Analytics

Role Overview

• Design, build, and maintain scalable backend systems that power our measurement, attribution, and reporting capabilities
• Develop robust data pipelines and services to transform raw event streams and metrics into actionable insights
• Collaborate closely with stakeholders to define and shape a seamless, intuitive reporting UI that empowers users to understand and act on provided insights
• Own key backend components—from service architecture to deployment and monitoring—ensuring reliability, scalability, and performance at scale
• Champion engineering best practices around code quality, testing, observability, and system health
• Mentor junior engineers and contribute to a culture of technical excellence, ownership, and continuous improvement

Requirements

• 5+ years software engineering experience
• Experience building and maintaining large distributed systems at scale that are fault tolerant and highly concurrent
• Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
• Strong foundation in modern backend development (e.g. python, ruby, etc.
• we use Python and Elixir)
• Experience with functional programming principles (we use Elixir)
• An understanding of common web based API architectures (RESTful, GraphQL) and technologies (gRPC)
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, RabbitMQ)
• Experience with both OLTP and OLAP systems, including designing schemas and optimizing queries
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use tools such as Docker, Kubernetes, Github Actions, etc.)
• Strong technical leadership skills with the ability to collaborate with others, communicate effectively, advocate appropriately and mentor more junior engineers to improve team efficiency
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues, and communicate to others on the team how to contribute to the solutions for these issues.
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement.

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems
• Docker
• Elixir
• Google Cloud Platform
• GraphQL
• GRPC
• Kafka
• Kubernetes
• Python
• RabbitMQ
• Ruby

Benefits

• full range of medical, financial, and/or other benefits