Software Engineer – SRE

Geordie AI

Software Engineer (SRE) building Geordie’s enterprise platform for AI agent visibility, governance, and risk. Improving reliability, observability, infrastructure, and incident response for customer-facing systems.

Posted 9/10/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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

Fluent Coding Ability In JavaFluent Coding Ability In PythonFluent Coding Ability In TypeScriptFluent Coding Ability In RustExperience With Infrastructure As Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Service ReliabilityObservabilityIncident ResponseDebuggingSecure Software DevelopmentCI/CD PipelinesContainersWorkflow OrchestrationOperational AutomationProduction-Grade Software Projects

Soft Skills

High OwnershipAdaptability

Tools & Technologies

AWSCloud EnvironmentsAI Agents

Industry Keywords

Operational DataService HealthMetricsLogsTracesMeaningful AlertsGreenfield ProjectsExisting Software Estate WorkCustomer WorkflowsOn-Call Rota

Tech Stack

Tools & technologies

AWSCloudGoJavaPythonRustTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Opportunity to work on an early-stage, category-defining platform for AI agent visibility, governance, and risk
Work closely with customers and ship real features to real users every week
Close collaboration, pairing, shared ownership, and automated testing
Professional growth and meaningful career development opportunities
Opportunity to grow, lead, and lift others
Exposure to emerging AI agent technologies and agent risk