Solutions Architect

🔥 22 hours ago

🇺🇸 United States – Remote

💵 $129.9k - $210.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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LaunchDarkly

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

☁️ SaaS

🏢 Enterprise

💰 $200M Series D on 2021-08

SaaS • Enterprise

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.

📋 Description

• Support Professional Services engagements focused on AI-enabled and traditional software delivery • Partner with customers to implement feature management into their LLM-powered applications • Help implement rollout patterns for AI progressive exposure, guardrails, kill switches, and prompt/model experimentation • Contribute to reference implementations, integrations, and prototypes • Work hands-on in customer environments to instrument AI systems with LaunchDarkly • Help customers building and operating chatbots integrate LaunchDarkly • Gather detailed requirements from customer architectures and recommend solutions • Serve as a knowledgeable point of contact for engineering and platform teams • Resolve common technical obstacles during engagements • Build working knowledge of LaunchDarkly and emerging AI delivery patterns • Share customer feedback with Product and Engineering teams

🎯 Requirements

• 5+ years in enterprise software, platform engineering, or solutions architecture • Can write production-quality code in modern languages (Python, Java, JavaScript/Node.js, Go, or similar) • Hands-on experience with AI-assisted development tools (Claude Code, Cursor, or similar) • Understanding of Model Context Protocol (MCP) or strong interest in learning • Ability to guide customers in DevOps, CI/CD, and modern release practices • Experience delivering across the full SDLC in enterprise environments • Strong grasp of feature management and experimentation platforms • Hands-on experience with a major cloud provider (AWS, Azure, or GCP), Linux, and containers • Open to 20% travel

🏖️ Benefits

• Restricted Stock Units (RSUs) • Health, vision, and dental insurance • Mental health benefits