
Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Own and scale critical backend systems including data sync pipelines, search APIs, email/SMS delivery, and workflow automation with a focus on reliability and operational excellence.
- • Drive platform-level projects that enable new product capabilities such as activity feeds, custom objects, rate limiting, tenant isolation, and data enrichment integrations.
- • Collaborate closely with product engineers to identify and eliminate platform bottlenecks, improving the velocity and reliability of feature development across the engineering team.
- • Participate in the shared platform on-call rotation and lead post-incident reviews to enhance system observability, resilience, and incident response processes.
- • Help shape the backend foundation for Rally’s agentic platform, ensuring core systems can support AI agents running research workflows at scale.
- • Influence architectural decisions and establish engineering standards across the backend stack, including technology selection and deployment patterns.
- • Mentor engineers through code reviews, technical design discussions, and day-to-day pairing as the team grows and scales.
- • Build and maintain systems that handle hundreds of millions of participant records and billions of events, supporting Rally’s User Research CRM platform.
- • Work within a fully TypeScript codebase using Node.js to develop and operate high-throughput, low-latency backend services.
- • Leverage AWS managed services including ECS/Fargate, RDS/Aurora, and MSK to deploy and manage cloud-native infrastructure.
- • Design and implement event-driven systems using Kafka or equivalent streaming infrastructure to process real-time user and system events.
- • Ensure strong observability through metrics, logs, and traces, and use these to proactively detect and resolve system issues.
- • Partner with product, design, and go-to-market teams to align platform capabilities with customer needs and product roadmap priorities.
- • Contribute to a remote-first, async-first culture with core collaboration hours overlapping across US time zones and optional in-person team onsites.
- • Use Rally’s own platform to conduct user research, feed insights into product decisions, and operate as a customer-obsessed engineering team.
- • Experiment with AI tools internally and contribute to building an AI-native product that automates the full research recruiting lifecycle end to end.
- • Maintain high ownership of technical areas from design through implementation, rollout, and ongoing operation with minimal supervision.
- • Support the growth of a small, high-ownership platform engineering team by establishing norms, documentation, and standards from early-stage infrastructure.
🎯 Requirements
- • 6+ years of experience building and operating complex backend systems in production, ideally at a startup or high-ownership environment.
- • Strong TypeScript/Node.js fundamentals with hands-on experience in a fully TypeScript codebase.
- • Deep experience with AWS managed services (ECS/Fargate, RDS/Aurora, MSK) and modern cloud-native architecture patterns.
- • Experience with event-driven systems and streaming infrastructure (Kafka or equivalent).
- • Proven track record of owning significant technical areas end-to-end — from design through implementation, rollout, and ongoing operation.
- • Strong understanding of observability (metrics, logs, traces) and comfort with on-call responsibilities and production incident response.
🏖️ Benefits
- • Competitive compensation and meaningful equity
- • Flexible / unlimited PTO policy
- • Medical, dental, and vision insurance
- • Parental Leave
- • 401(k) retirement plan
- • Home office set-up support
- • Monthly remote work stipend
- • Quarterly in-person team or company gatherings
Skills & Technologies
About Rally UXR Inc.
Rally UXR Inc. provides a research repository and insight platform that helps product teams centralize, analyze and share user-research data. The software ingests notes, recordings and survey results, surfaces patterns with AI tagging, and generates searchable evidence libraries that link findings to business goals. Teams can collaborate on insights, track research impact and maintain compliance standards. Founded in 2019, the company serves technology, finance and healthcare organizations seeking to scale user-centric decision-making across design, product and marketing functions.
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