Member of Technical Staff - Platform
RunlayerEnterprise AI company
New York, United StatesLead
Khosla Ventures
Felicis
NorthBridge PE
Software Engineering
About the role
TL;DR
Architect scalable systems for Runlayer's platform and customer solutions.
- •As a Platform engineer, you'll architect and build the scalable systems that underpin Runlayer and every customer deployment on it, tackling the hardest integration, data, and workflow challenges with a mix of traditional engineering and AI.
- •Key Responsibilities Architect and implement robust, scalable systems that underpin our platform and customer solutions.
- •Tackle unique integration, data transformation, and workflow challenges using a combination of traditional coding and AI technologies.
- •Work directly with stakeholders including enterprise customers to gather requirements and translate business needs into technical solutions.
- •Rapidly prototype, validate, and iterate on new features and product ideas based on feedback and real-world usage.
- •Mentor and collaborate with other engineers, setting exemplary standards for code quality, technical design, and problem-solving.
- •Requirements Extensive software engineering experience (typically 7+ years), including system architecture, design, and hands-on development with modern languages.
- •Demonstrated ability to deliver solutions in customer-facing, high-impact environments.
- •Deep experience building, integrating, and deploying APIs, as well as familiarity with databases and enterprise systems.
- •Proven track record working with or building systems involving AI/ML technologies.
- •Excellent collaboration and communication skills you can connect technical and business domains seamlessly.
- •Ability to thrive in a fast-paced, iterative environment, balancing rapid delivery with technical excellence.
Required skills
PythonMicroservicesKubernetesAWSGoogle CloudCI/CDDockerPostgreSQLMongoDBRedisElasticsearchNext.jsReactTypeScriptNode.js
Domain expertise
ai
Benefits & perks
Competitive salary and equity, Paid time off, Professional development, Top-tier equipment, Health benefits, Customer interaction opportunities
Tech stack
PythonMicroservicesKubernetesAWSGoogle CloudCI/CDDockerPostgreSQLMongoDBRedisElasticsearchNext.jsReactTypeScriptNode.jsGitJiraConfluenceSlackGitHub ActionsJenkinsPrometheusGrafanaDatadogNew RelicPagerDutyNginxHAProxyOAuthJWT