
201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $200M Series D on 2021-08
Consulting • Healthcare • Logistics
LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $163k - $224.1k / year
⏰ Full Time
🟠 Senior
🔙 Backend Engineer
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $200M Series D on 2021-08
Consulting • Healthcare • Logistics
LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.
• Design, build, and operate scalable backend services and APIs powering LaunchDarkly’s Experimentation product. • Own backend components through technical discovery, design, implementation, testing, deployment, monitoring, incident response, and continuous improvement. • Build and evolve systems supporting experiment setup, event data ingestion, metric computation, results processing, and results presentation. • Contribute to architectural decisions and technical proposals, balancing scalability, reliability, performance, cost, and maintainability. • Partner with product managers, designers, data scientists, and engineering teams to translate customer needs and product goals into reliable technical solutions. • Collaborate with Data Platform, Warehouse Integrations, SDK, and other teams on shared data flows, services, and cross-team dependencies. • Investigate complex production issues, identify root causes, and implement durable fixes. • Improve observability, testing, deployment safety, operational processes, and system reliability. • Participate in the on-call rotation and take ownership of production systems in a you-build-it-you-run-it culture. • Support teammates through code reviews, design reviews, knowledge sharing, and informal mentorship.
• 6+ years of professional software engineering experience, including significant experience building and operating backend services in production. • Fluency using AI tools in software engineering workflows, including the judgment to direct, evaluate, and validate AI-generated output. • Experience designing and delivering customer-facing systems that are scalable, reliable, observable, and maintainable. • Strong programming experience in Go or a comparable backend language such as Python, Rust, or C++. The team is using Go. • Experience with distributed systems, event-driven architectures, data pipelines, APIs, data modeling, or data-intensive services. • Familiarity with analytical, operational, or warehouse data stores such as ClickHouse, Postgres, Snowflake, Redshift, BigQuery, Databricks, or equivalent technologies. • Experience diagnosing production issues and improving system reliability through metrics, logs, traces, alerting, and other observability practices. • Experience working in a cloud environment and with infrastructure-as-code or equivalent deployment and operations tooling. • Ability to take an ambiguous problem from discovery and scoping through design, implementation, launch, and ongoing operation. • Clear, thoughtful communication and a collaborative approach to working with technical and non-technical partners. • Experience with experimentation, A/B testing, analytics, data platforms, or similarly data-intensive products.
• Restricted Stock Units (RSUs) • Health insurance • Vision insurance • Dental insurance • Mental health benefits
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