
1001 - 5000 Mitarbeiter
Gegründet 2011
☁️ SaaS
🤝 B2B
🤖 Künstliche Intelligenz
💰 €1.200.000 Secondary Market - Redis im 2021-12
SaaS • B2B • Artificial Intelligence
Redis ist eine In-Memory-Datenplattform und ein Open-Source-Datenspeicher, der low-latency Caching, Streaming, Suche und Echtzeit-Datenservices bietet. Es bietet sowohl Redis Cloud (ein verwaltetes SaaS-Angebot) als auch Redis Open-Source-Software für On-Premises-/Hybrid-Bereitstellungen sowie eine Suite von Tools und Erweiterungen – Redis Iris (Echtzeit-Kontext für KI-Agenten), Redis Context Retriever, LangCache, Redis Flex (gestufter RAM+Flash-Speicher), Active-Active-Replikation über mehrere Regionen, Redis Insight UI und Client-SDKs. Redis wird für Kernarbeitslasten wie Caching, Sitzungsverwaltung, Echtzeit-Nachrichten/Streams, Feature Stores, Vektorsuche und semantische Suche für RAG/KI, Betrugserkennung und Echtzeitentscheidungen eingesetzt und richtet sich an Entwickler und Unternehmenskunden in Branchen wie Finanzdienstleistungen, E-Commerce/Einzelhandel, Gaming, Gesundheitswesen und Telekommunikation.
🕒 vor 5 Tagen
🏄 California, Colorado, +3 weitere Bundesländer – Remote
⏰ Vollzeit
🟠 Senior
🔴 Experte
⚙️ Systemingenieur
🗣️🇺🇸🇬🇧 Englisch erforderlich
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1001 - 5000 Mitarbeiter
Gegründet 2011
☁️ SaaS
🤝 B2B
🤖 Künstliche Intelligenz
💰 €1.200.000 Secondary Market - Redis im 2021-12
SaaS • B2B • Artificial Intelligence
Redis ist eine In-Memory-Datenplattform und ein Open-Source-Datenspeicher, der low-latency Caching, Streaming, Suche und Echtzeit-Datenservices bietet. Es bietet sowohl Redis Cloud (ein verwaltetes SaaS-Angebot) als auch Redis Open-Source-Software für On-Premises-/Hybrid-Bereitstellungen sowie eine Suite von Tools und Erweiterungen – Redis Iris (Echtzeit-Kontext für KI-Agenten), Redis Context Retriever, LangCache, Redis Flex (gestufter RAM+Flash-Speicher), Active-Active-Replikation über mehrere Regionen, Redis Insight UI und Client-SDKs. Redis wird für Kernarbeitslasten wie Caching, Sitzungsverwaltung, Echtzeit-Nachrichten/Streams, Feature Stores, Vektorsuche und semantische Suche für RAG/KI, Betrugserkennung und Echtzeitentscheidungen eingesetzt und richtet sich an Entwickler und Unternehmenskunden in Branchen wie Finanzdienstleistungen, E-Commerce/Einzelhandel, Gaming, Gesundheitswesen und Telekommunikation.
• Build, lead, and mentor a global team of Salesforce developers and full-stack engineers (Apex, Lightning Web Components, Python, Ruby on Rails), including hybrid onshore/offshore resources • Own engineering best practices across the GTM stack: code review standards, version control (Git), CI/CD pipelines, sandbox and release management, automated testing, and a long-term technical debt agenda • Act as the design reviewer for significant platform changes – data model evolution, automation patterns, integration architecture, and security model – ensuring everything we build scales with the business • Drive adoption of AI coding tools and agentic development workflows across the team; establish guardrails and quality standards, and measure their impact on delivery velocity and code quality • Manage the engineering workflow end to end: intake and scoping, sprint planning and estimation, prioritization against the Salesforce roadmap, incident and escalation management, and stakeholder communication • Partner with our GTM Operations Leaders and GTM Systems Program Owners to translate business requirements into well-scoped, actionable engineering work • Own the integration patterns connecting Salesforce to adjacent systems (CPQ, sales engagement, marketing automation, data orchestration, internal applications), deciding what should be native to Salesforce versus built externally in Python or Rails services • Establish metrics for system health, delivery velocity, and incident resolution, and proactively detect and resolve issues before they reach users • Ensure data integrity, security, and compliance across the Salesforce ecosystem
• 7+ years of experience in software or Salesforce engineering, including hands-on development with Apex, Lightning Web Components, and Flow • 2+ years of people management experience leading engineers or developers • Working fluency in at least one general-purpose stack – Python and/or Ruby on Rails – and sound judgment about what belongs in Salesforce versus external services • A track record of implementing engineering best practices in a Salesforce context: Git-based version control, CI/CD, code review, and automated testing • Demonstrated personal use of AI coding tools to accelerate your own development work, and a point of view on how to roll them out responsibly across a team • Experience running an agile engineering workflow (e.g., Jira): sprint management, estimation, and balancing roadmap delivery against run/maintenance work • Hands-on experience with REST/SOAP APIs and middleware integrations with Salesforce • Excellent communication skills, with the ability to work effectively with executives, sales leaders, and cross-functional stakeholders
• Competitive salaries and equity grants • Flexible vacation time to promote a healthy work-life balance • Health insurance, paid paternity leave, and pension plan • Flexible working options • Yearly health and wellness budget for a healthy mind and body • Frequent team celebrations and recreation events • Home internet & phone stipend • Learning and development opportunities • Ability to influence a high-performance company on its way to IPO
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