Platform Backend Engineer — Scale Enterprise AI Infra

Jackalope Digital LLC; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Conduct is seeking exceptional engineers to design and ship foundational infrastructure that enables rapid scale to the world’s largest enterprises. You will own architecture across production systems, focusing on reliability and developer experience, while enabling product teams to move fast.

We value ownership, high-velocity collaboration, and low-ego teamwork. You’ll tackle distributed systems, platform-level challenges, and LLM-related infrastructure at scale, shaping the core that powers

Qualifications

• 3+ years of backend experience with platform or infrastructure work.
• Strong system design instincts and end-to-end ownership across APIs, infra and data flows.
• Experience with distributed systems, scaling databases (PostgreSQL), queues, and large-scale batch processing.
• Ability to benchmark and tune systems under real load and make pragmatic trade-offs when data is ambiguous.
• Familiarity with LLM infrastructure at scale.
• Proactively raise the bar through code, mentorship, and better systems.

Responsibilities

• Own architecture across infrastructure and production systems.
• Build scalable platform abstractions and internal tooling to accelerate product teams.
• Design and maintain infrastructure meeting enterprise reliability requirements.
• Tame LLM infrastructure for high throughput and real-time usage.
• Raise baseline quality from auth to observability and job orchestration.

Skills

Backend experience

Platform infra

System design

Distributed systems

PostgreSQL

LLM infra

Mentorship

Tools

Kotlin

Temporal

PortKey

Job description

Conduct is seeking exceptional engineers to design and ship foundational infrastructure that enables rapid scale to the world’s largest enterprises. You will own architecture across production systems, focusing on reliability and developer experience, while enabling product teams to move fast.

We value ownership, high-velocity collaboration, and low-ego teamwork. You’ll tackle distributed systems, platform-level challenges, and LLM-related infrastructure at scale, shaping the core that powers