• Design and build high-performance Go services for low-latency data streaming • Architect scalable, fault-tolerant distributed systems and evaluate technical trade-offs • Break down complex, ambiguous problems into incremental, production-ready deliverables • Own reliability through observability, alerting, and operational best practices • Participate in an on-call rotation supporting critical infrastructure • Lead code reviews and raise the bar for testing, maintainability, and system design • Collaborate with product, SRE, and protocol teams to align technical execution with business goals

• Lead end-to-end Oracle CPQ Cloud implementations including design, configuration, testing, and deployment • Design and configure product models, pricing rules, discounting logic, approvals, and commerce processes • Develop and optimize BML scripts, BMQL queries, and XSLT-based document templates • Architect and support integrations between Oracle CPQ and CRM (Salesforce) / ERP (Oracle Fusion) systems using REST/SOAP APIs or middleware platforms • Conduct client workshops to gather and analyze business requirements • Translate business requirements into scalable CPQ solution designs aligned with enterprise architecture standards • Support unit testing, SIT, and UAT cycles; resolve defects and performance issues • Manage production deployments and version control following DevOps best practices • Ensure adherence to Q2C (Quote-to-Cash) best practices and pricing governance models • Mentor junior consultants and contribute to internal capability development • Provide ongoing production support and continuous improvement recommendations

• Gather and interpret requirements from the business • Analyze existing business processes • Recommend optimization and process area improvements • Participate in the solution design process • Prepare business requirement documents and user stories

Role Description Our client is seeking a Staff Full Stack Engineer to help design and scale core platform infrastructure and customer-facing analytics capabilities. This role is ideal for an engineer who enjoys solving complex distributed systems challenges, building high-performance data products, and contributing meaningfully within a small, high-ownership team. Key Technical Challenges - Scaling Event Ingestion: The platform ingests analytics events from customers (e.g., button clicks, transactions) and makes them queryable via SQL. The system must scale to millions of events per second while maintaining low latency (<30 seconds). - Warehouse-Native Product Analytics: The team is building a product analytics suite (similar to Mixpanel or Amplitude) that operates directly on a company’s existing SQL data warehouse. This includes significant front-end architecture, data engineering, and performance optimization work. - Real-Time Feature Flag Analytics: When developers release code, they need immediate insight into system health and feature adoption. The platform aims to provide real-time visibility that extends beyond traditional APM tools and delivers a comprehensive analytics solution. - Robust Multi-Database SQL Support: The platform supports 12+ SQL data sources, including Postgres, BigQuery, and PrestoDB, each with unique quirks and edge cases. Scaling this support requires building automated SQL test suites and dynamically provisioning complex cloud infrastructure. - Streaming Feature Delivery Service: When a feature flag is toggled, updates must propagate globally within seconds. The system must maintain extremely high reliability (99.999% uptime) while handling billions of requests per day. Qualifications - Expert-level proficiency in TypeScript, React, and Node.js - Strong understanding of both SQL and NoSQL databases - Experience building large-scale web applications from scratch - Strong English communication skills - Experience in or strong interest in working within a startup or small, high-ownership team Preferred / Bonus Experience - Contributions to open-source projects - Experience using feature flags or A/B testing in production environments - Experience building data-intensive analytics platforms - Experience designing high-scale distributed systems Benefits - Fully remote work within US time zones - Comprehensive health, vision, and dental coverage (100% employee premium covered; 95% for dependents) - Generous home office or coworking stipend - Regular company off-sites Interview Process The interview process typically includes four virtual stages: - Introductory call with a founder - Technical screen (live coding and screen sharing) - System design interview - Behavioral and culture interview The focus throughout the process is on real-world problem solving and technical thinking. There are no riddles or algorithm-style trick questions. The goal is to ensure strong mutual fit. Why This Role Stands Out This is an opportunity to operate at the Staff level within a high-growth, open-source SaaS company tackling complex data and distributed systems challenges. The selected candidate will have meaningful ownership over architectural decisions, influence product direction, and help scale systems used by thousands of engineering teams globally. For engineers who want startup ownership with enterprise-scale technical depth, this role offers both.