Software & Site Reliability Engineer for AI Platform

Jobtailor; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Jobtailor seeks a senior software engineer to build and enhance enterprise capabilities using AI agent visibility and governance. You will own reliability, improve observability, and strengthen infrastructure while collaborating with stakeholders to streamline customer workflows.

You will lead initiatives around incident response and automation, contributing to the technical direction of the product and engineering practices in a fast-moving environment.

Qualifications

• Fluent coding in at least one of Java, Python, TypeScript, or Rust.
• Ability to navigate unfamiliar codebases.
• Led delivery of several significant production-grade software projects, including greenfield and existing software estate work.
• Experience participating in on-call for important production systems, debugging incidents, and implementing improvements afterward.
• Knowledge of common software vulnerabilities and secure software development.
• Comfort with AWS and cloud environments.
• Experience with infrastructure as code, CI/CD pipelines, and containers.
• Knowledge of observability using metrics, logs, traces, and meaningful alerts.
• High ownership, adaptability, and willingness to work in fast-moving environments.
• Familiarity with AI agents, workflow orchestration, or operational automation using modern AI tooling.

Responsibilities

• Build and improve product capabilities for enterprise customers using Geordie’s AI agent visibility, governance, and risk platform
• Own service reliability by defining service health, instrumenting services, and acting on operational data
• Improve observability, alerting, and incident response practices
• Strengthen infrastructure, delivery pipelines, and automation, including infrastructure as code and repeatable deployments
• Respond to customer requests and unblock the Go to Market team
• Improve engineering processes and ways of working
• Collaboratively discuss, design, and iterate solutions with business stakeholders and customers
• Refactor internal systems, reduce operational toil, and streamline customer workflows
• Participate in the on-call rota and implement lasting improvements after incidents
• Learn and explore AI agents and agent risks
• Drive the technical direction of the product, platform, and engineering practices

Skills

Java

Python

TypeScript

Rust

Codebase navigation

On-call incident response

Secure SDLC

Observability

AWS

Infrastructure as Code

CI/CD pipelines

Containers

Workflow orchestration

Operational automation

Ownership

AI agents familiarity

Tools

AWS

CI/CD tools

Containers

AI Agents

Job description

Jobtailor seeks a senior software engineer to build and enhance enterprise capabilities using AI agent visibility and governance. You will own reliability, improve observability, and strengthen infrastructure while collaborating with stakeholders to streamline customer workflows.

You will lead initiatives around incident response and automation, contributing to the technical direction of the product and engineering practices in a fast-moving environment.