Sr. Backend Engineer - Warehouse Integrations

About the Job: The Warehouse Integrations team at Launchdarkly builds the infrastructure that lets LaunchDarkly customers connect their enterprise data warehouses to unlock advanced capabilities like warehouse-native experimentation and real-time metrics. As a Senior Backend Engineer, you'll be a key architect for scaling this platform and expanding our warehouse integrations footprint. You'll lead the design and implementation of core infrastructure - from integration connectors and data export pipelines to health checks and operational monitoring, while mentoring engineers and setting technical direction for the team. This is a critical role in LaunchDarkly's strategy to meet customers where their data lives and enable data-driven feature experimentation at scale. Responsibilities: Architect and design scalable warehouse integration infrastructure that enables LaunchDarkly to support multiple enterprise data warehouse platforms and add new integrations systematically. Build and own core backend services and APIs that power warehouse connectivity, including data export pipelines, health checks, authentication flows, and operational monitoring. Drive technical excellence by establishing design patterns, frameworks, and best practices for warehouse integrations that the team uses as they scale. Partner with cross-functional teams to define integration roadmaps, resolve technical blockers, and ensure warehouse-native features are delivered reliably. Lead technical design reviews and author tech specs for complex, cross-cutting integration work, and setting standards for implementation. Mentor and support backend engineers on the team through code reviews, design discussions, and regular guidance, fostering strong fundamentals and ownership mindset. Communicate effectively across technical and non-technical audiences, articulating complex system decisions, trade-offs, and progress to stakeholders, engineers, and peers. Improve reliability and operational maturity of warehouse integrations through observability, monitoring, load testing, and production incident response. Actively participate in on-call rotation to support production systems, diagnose issues in distributed environments, and implement lasting fixes. Qualifications: 8+ years of professional backend software engineering experience, with a demonstrated track record of designing and shipping scalable, production-grade systems in complex domains Proven expertise in distributed systems design and implementation, including experience with topics such as consistency models, replication, consensus, and failure handling in large-scale environments Strong programming proficiency in Go, Java, Rust, or C++ with the ability to ramp up quickly on new technologies and languages Solid understanding of domain modeling and system design principles, particularly for building reusable abstractions, internal frameworks, and integration infrastructure Hands-on experience designing and building scalable APIs that support both internal tooling and customer-facing integrations Proficiency with observability best practices including metrics, structured logging, distributed tracing, and alerting, with experience diagnosing complex production issues in distributed systems Familiarity with modern data warehouse and analytics platforms, including understanding of data models, query optimization, and integration patterns is a bonus Experience with Infrastructure-as-Code tools (Terraform, CloudFormation, or equivalent) for managing cloud infrastructure at scale Strong commitment to software quality including automated testing (unit, integration, load tests), code reviews, and architectural decision documentation Excellent communication skills in technical discussions, design reviews, and cross-functional collaboration with product, data, and frontend teams Demonstrated ability to mentor and develop other engineers, fostering technical growth and establishing engineering sta ... (truncated, view full listing at source)