Member Of Technical Staff - Distributed Engineer - Agentic AI Start Up

ZipRecruiter; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A cutting-edge AI startup in London seeks a Backend Engineer to design and develop scalable, distributed systems. You will leverage technologies like Go, Python, and Docker while optimizing deployment processes. An ideal candidate has strong skills in CI/CD and container orchestration (Kubernetes). Join us to build impactful AI-driven applications in a fast-paced environment.

Benefits

Equity ownership

Fast-paced innovative environment

Autonomy and continuous learning

Qualifications

• Proven hands-on experience with distributed systems architecture.
• Expertise in backend development with at least one language (Go, Python, Java).
• Strong experience with containerization and orchestration tools.
• Experience with CI/CD tooling and infrastructure as code.

Responsibilities

• Design and develop large-scale distributed backend systems.
• Implement microservices, APIs, and data pipelines.
• Lead deployment automation and CI/CD pipelines.
• Optimize system performance and monitoring.

Skills

Distributed systems architecture

Backend development (Go, Python, Java)

Containerization (Docker)

Orchestration (Kubernetes)

CI/CD tooling

Observability tools (Prometheus, Grafana)

Cloud platform experience (AWS, GCP, Azure)

Tools

Docker

Kubernetes

Terraform

Helm

Ansible

Job description

Job Description

Join a breakthrough agentic AI startup with $8M funding, led by two exceptional founders with Apple exits and DeepMind pedigree. Be the 8th engineer on a proven team revolutionising AI, accelerating innovation with cutting-edge systems and strategic partners—shape the future, make an impact, and earn equity with real skin in the game

Are you passionate about building scalable, fault-tolerant backend systems in distributed environments? Do you thrive on solving complex engineering challenges while optimizing deployment and observability?

What You’ll Do

• Design, develop, and operate large-scale distributed backend systems that power mission-critical applications.
• Implement microservices, APIs, and data pipelines using backend like Go, Python, or Java.
• Lead deployment automation efforts through containerization (Docker) and orchestration tools such as Kubernetes.
• Build and maintain CI/CD pipelines enabling seamless, reliable software delivery.
• Architect and implement end-to-end observability with tools like Prometheus, Grafana, Jaeger, and OpenTelemetry, ensuring system transparency and rapid troubleshooting.
• Optimize system performance, scalability, and availability while enabling robust monitoring and alerting across distributed environments.
• Collaborate closely with cross-functional teams across engineering, product, and operations to deliver resilient, high-impact solutions.

What We’re Looking For

• Proven hands-on experience with distributed systems architecture, including deep understanding of reliability, consistency models, and concurrency.
• Expertise in backend development with at least one of Go, Python, Java, or Rust.
• Strong experience with containerization (Docker) and orchestration (Kubernetes, Nomad).
• Skilled in CI/CD tooling and infrastructure as code (Terraform, Helm, Ansible).
• Proficient with observability tools and frameworks (Prometheus, Grafana, Jaeger, OpenTelemetry, ELK stack).
• Ability to design scalable, observable systems that offer actionable insights and rapid incident response.
• Solid cloud platform experience (AWS, GCP, Azure) and familiarity with automated deployment and rollback.
• Excellent problem-solving abilities, communication skills, and a proactive ownership mindset.

Why Join?

This is your chance to be at the forefront of building the backbone for the next wave of AI-driven, intelligent applications. You’ll work alongside talented engineers in a fast-paced, innovative environment where your contributions have direct and meaningful impact. Embrace autonomy, continuous learning, and the opportunity to solve some of the toughest challenges in distributed backend engineering.