Senior Golang Engineer - Go/Kubernetes

ZipRecruiter; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading company is seeking experienced engineers to design and build global-scale libraries and platforms using modern cloud technologies. The role involves creating deployable technology blueprints, focusing on Generative AI and LLMs, while defining best practices and driving innovation across teams.

Qualifications

• Experience with LLMOps and Generative AI integration.
• Proven experience with hybrid cloud environments.
• Ability to explain complex ideas clearly.

Responsibilities

• Build full-stack reference architectures and reusable patterns.
• Develop Back End systems using microservices.
• Focus on security across applications and APIs.

Skills

LLMOps

Generative AI

Programming in Go (Golang)

Programming in Java

Programming in Kotlin

Programming in JavaScript/Node.js

Programming in Python

Kubernetes (K8s)

OpenShift

MongoDB

Kafka

Prometheus

OpenTelemetry

Grafana

Helm

Kustomize

Terraform

Vault

Job description

Job DescriptionAbout the Role
We're looking for experienced engineers to help design and build global-scale libraries, modules, and platforms using modern, cloud- technologies. You'll work on systems that are secure, well-tested, and designed for internal use across the organization.
This role focuses on creating deployable technology blueprints and solutions-especially for teams working with Generative AI and Large Models (LLMs). You'll define best practices for integrating GenAI, vectorizing data, and deploying LLMs.
You'll be working with cutting-edge tools and open-source technologies. A key part of your job is helping define technical standards and driving innovation across teams.

Key Responsibilities

• Build full-stack reference architectures and reusable patterns for use across the company.
• Develop Back End systems using microservices and distributed architectures.
• Focus on security across applications, APIs, CI/CD pipelines, and hybrid cloud environments.
• Guide adoption of engineering practices across business units.
• Set standards for LLMOps, GenAI integration, and data vectorization.
• Contribute to decisions on technology direction and strategy.

Key Skills

• LLMOps and experience with Generative AI integration
• Programming experience in Go (Golang), Java, Kotlin, JavaScript/Node.js, or Python
• Strong hands-on experience with Kubernetes (K8s) and OpenShift
• Experience with MongoDB, Kafka, Prometheus, OpenTelemetry, Grafana
• Familiarity with tools like Helm, Kustomize, Terraform, and Vault
• Proven experience with hybrid cloud environments (on-prem + public cloud)
• Ability to explain complex ideas clearly to both technical and non-technical audiences
• Comfortable learning new technologies and driving technical direction