Site Reliability Engineer

Genesis AI; Paris; On-site; NOK 1,168,073 - 1,687,216; Full time

Job summary

Genesis AI is seeking a Site Reliability Engineer to tackle reliability and scalability across our distributed platform. You will design and run large-scale systems, optimize performance, and drive automation that reduces toil.

You will lead cross-team initiatives, mentor engineers, and balance system health with rapid product iteration while planning capacity and preventing incidents.

Qualifications

• Strong software engineering skills with distributed systems experience.
• Deep expertise with Kubernetes and Cloud Functions.
• Experience leading complex large-scale technical projects.
• Ability to apply coding and algorithms to solve large-scale problems.
• Collaborative and cross-team mindset for robust reusable solutions.

Responsibilities

• Tackle reliability, scalability, and efficiency challenges across SRE and development teams.
• Build and run large-scale distributed systems that stay reliable and performant.
• Automate to improve uptime and reduce toil.
• Lead culture of reliability across the organization balancing system health with product priorities.
• Plan capacity, analyze performance, and prevent incidents.

Skills

Python

Go

Distributed systems

Troubleshooting

Software engineering

Tools

Kubernetes

Cloud Functions

NALSD

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.