Site Reliability Engineer

Genesis AI; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Genesis AI is seeking a Site Reliability Engineer to tackle reliability, scalability, and efficiency challenges across SRE and development teams. You will build and run large-scale distributed systems that keep Genesis platform reliable and performant for customers, and drive solutions across teams.

You will optimize existing systems, automate toil away, and guide technical decisions balancing system health with fast-moving product priorities.

Qualifications

• Design, analyze and troubleshoot distributed systems at scale.
• Experience with cloud platforms and container orchestration.
• Leading complex, large-scale technical projects across teams.

Responsibilities

• Take on ambiguous reliability, scalability, and efficiency challenges and drive solutions across SRE and development teams.
• Build and run large-scale, massively distributed, fault-tolerant systems that keep Genesis platform reliable and performant for our customers.
• Optimize existing systems, build infrastructure, and eliminate toil through automation to continuously improve uptime and rate of change.
• Cultivate a culture of reliability throughout the organization, guiding technical decisions that balance system health with fast-moving product priorities.
• Ensure the long-term health, maintainability, and reliability of services through capacity planning, performance analysis, and proactive incident prevention.

Skills

Python

Go

Distributed systems

Kubernetes

NALSD

Leadership

Tools

Kubernetes

Cloud Functions

Job description

What You'll Do

• Take on ambiguous reliability, scalability, and efficiency challenges and drive solutions across SRE and development teams.

• Build and run large-scale, massively distributed, fault-tolerant systems that keep Genesis platform reliable and performant for our customers.

• Optimize existing systems, build infrastructure, and eliminate toil through automation to continuously improve uptime and rate of change.

• Cultivate a culture of reliability throughout the organization, guiding technical decisions that balance system health with fast-moving product priorities.

• Ensure the long-term health, maintainability, and reliability of services through capacity planning, performance analysis, and proactive incident prevention.

What You'll Bring

• Strong software engineering skills (e.g., in Python, Go, or similar) with extensive experience designing, analyzing, and troubleshooting distributed systems.

• Deep expertise with cloud computing platforms (e.g., Kubernetes, Cloud Functions) and Non-Abstract Large Systems Design (NALSD).

• Experience leading complex, large-scale technical projects and providing technical leadership across teams.

• Ability to apply coding, algorithms, and complexity analysis to solve ambiguous problems at scale with minimal disruption.

• A collaborative, intellectually curious mindset - comfortable working across a wide variety of backgrounds and bringing cross-team perspective to build robust, reusable solutions.