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Infrastructure Software Engineer
Tome · Cambridge, United Kingdom
About The Role
Join Lightfield, a cutting-edge AI and data systems company, as an Infrastructure Software Engineer. In this role, you will take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what's possible in applied AI and data systems. You will design and build the data models and infrastructure that support a next-generation CRM, ensuring the system is performant, scalable, and resilient. Additionally, you will mentor teammates, participate in code reviews, and help shape engineering culture and practices.
- Architect and scale the data infrastructure and backend services that power Lightfield AI-driven CRM.
- Design and optimize data models to support CRM workflows, customer interactions, and AI-driven insights.
- Mentor teammates, participate in code reviews, and help shape engineering culture and practices.
- We’re looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of architecting, building, and scaling the core infrastructure and systems powering Lightfield's AI-driven CRM
- Deep experience building scalable, high-performance data infrastructure that can support complex customer workflows and large-scale data processing
- 3+ years of experience in software development, with a strong background in infrastructure, data modeling, and backend systems
- Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment
- You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL
- Strong fundamentals in software engineering, with a degree in Computer Science or a related field
- Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable
- You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them
- Strong understanding of database design, indexing strategies, and query optimization, especially in PostgreSQL or similar relational databases
- Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders
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