Software Engineer – SRE

Jobtailor

Greater London

On-site

GBP 90,000 - 120,000

Full time

4 days ago

Be an early applicant

Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

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

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

Requirements

Fluent coding ability 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

Core Competencies

Demonstrates expertise in building and improving product capabilities using AI technologies, with a strong focus on service reliability, observability, and infrastructure automation. Proficient in leading software projects and implementing best practices in secure software development and operational efficiency.

Highest-signal resume keywords