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Alteryx

Self-service data analytics platform for teams

Senior Software Engineer - Dataplane

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • At least five years of professional software development experience.
  • Strong experience building backend services using Go, REST APIs, and distributed systems.
  • Experience developing and operating production cloud applications on AWS or GCP.
  • Experience with JavaScript or TypeScript and React or a similar frontend framework.
  • Familiarity with microservices, event-driven architectures, and cloud-native application design.
  • Experience with testing, CI/CD pipelines, Git, and modern software development practices.
  • Ability to troubleshoot issues across application code, cloud infrastructure, and production environments.
  • Strong communication, collaboration, and problem-solving skills with an ownership mindset.

Responsibilities

  • Build the foundation of Alteryx's next-generation cloud platform as part of the Data Plane Platform team.
  • Build scalable services, APIs, and distributed systems using Go.
  • Contribute across the stack using React and TypeScript to build customer-facing platform management experiences.

Desired Qualifications

  • Experience with Kubernetes, Docker, Helm, Terraform, or Infrastructure as Code.
  • Experience with messaging technologies such as Kafka, Redis, or Pub/Sub.
  • Experience building cloud provisioning, orchestration, or platform management systems.
  • Familiarity with observability, monitoring, and distributed tracing tools.
  • Experience with multi-tenant SaaS platforms, workflow orchestration, or cloud infrastructure.
  • Experience contributing to system architecture, technical design, and engineering best practices.

About the Company

Alteryx

Self-service data analytics platform for teams

Summary of Alteryx: 1) What it does: Alteryx provides a self-service data analytics platform that helps users across business roles transform data into actionable insights, with capabilities for data preparation, blending, and advanced analytics. It serves diverse industries and uses a subscription-based business model, plus professional services and training. 2) How it works: The platform offers a user-friendly interface that automates complex data tasks, enabling users from data scientists to business analysts to prepare, blend, and analyze data to generate insights. 3) How it differs from competitors: It emphasizes democratizing analytics—making powerful data tools accessible to non-technical users through an easy-to-use, automated workflow, suitable for many industries and integrated within a subscription framework. 4) Goal: To accelerate analytics transformation and help organizations make faster, better business decisions by turning data into actionable insights.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Irvine, CA
Founded
2010

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