Alteryx is a leading provider of enterprise analytics solutions that empower organizations to unlock valuable insights from their data. With its AI-driven analytics platform, Alteryx automates the processes of data preparation, analysis, and reporting, making analytics accessible to users at all skill levels. The platform offers features such as data enrichment, predictive modeling, and location intelligence, enabling businesses to improve operational efficiency and drive informed decision-making across various sectors, including financial services, retail, healthcare, and manufacturing.
Self-Service Data Analytics • Business Intelligence • Predictive Analytics • Spatial Analytics • Analytics
4 days ago
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Grafana
Java
Kubernetes
Microservices
Node.js
Prometheus
Spring
Spring Boot
SpringBoot
Alteryx is a leading provider of enterprise analytics solutions that empower organizations to unlock valuable insights from their data. With its AI-driven analytics platform, Alteryx automates the processes of data preparation, analysis, and reporting, making analytics accessible to users at all skill levels. The platform offers features such as data enrichment, predictive modeling, and location intelligence, enabling businesses to improve operational efficiency and drive informed decision-making across various sectors, including financial services, retail, healthcare, and manufacturing.
Self-Service Data Analytics • Business Intelligence • Predictive Analytics • Spatial Analytics • Analytics
• Lead the design and implementation of core backend services for data connectivity, powering integrations across Alteryx’s cloud platform. • Develop platform services that are reusable, reliable, and performant, with high standards for quality and observability. • Collaborate with product, infrastructure, and other engineering teams to align on architecture and integration strategies. • Contribute to roadmap planning, technical design reviews, and team-level decision-making. • Foster a culture of engineering excellence through mentorship, collaboration, and continuous improvement.
• 6+ years of backend software development experience with a strong track record in shipping scalable production systems. • Expertise in Java and frameworks like Spring Boot. • Solid understanding of designing and operating distributed systems and microservices architectures. • Hands-on experience with Kubernetes and Docker for containerized application development and deployment. • Strong background in modern observability tooling (e.g., Prometheus, Grafana, OpenTelemetry, or similar). • Experience building platform-level capabilities, including APIs, SDKs, and services consumed by other engineering teams. • Solid grasp of RESTful API design, service reliability, versioning, and backward compatibility. • Strong understanding of cloud infrastructure (AWS, Azure, or GCP). • Excellent communication and collaboration skills, with the ability to influence and align stakeholders across teams. • Proactive and self-driven, able to lead technical initiatives and drive them to completion with minimal guidance. • Experience in the data domain — particularly data integration, ingestion, or connectivity patterns. • Prior experience in NodeJS is a big plus. • Familiarity with API gateways, connector frameworks, or third-party data integrations. • Background working with multi-tenant, secure cloud platforms. • Experience in designing internal developer platforms or SDKs. • Prior experience mentoring junior engineers or driving engineering best practices across teams.
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