Genesis AI

2 months ago

Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Work with SRE and development teams to solve ambiguous reliability, scalability, and efficiency challenges. Build and operate fault-tolerant, massively distributed systems that keep the Genesis platform reliable and high-performing for customers. Improve uptime and rate of change by optimizing infrastructure and automating away toil. Help drive a culture of reliability through capacity planning, performance analysis, and proactive incident prevention.

Location: Paris, London

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Address ambiguous reliability, scalability, and efficiency challenges across SRE and development teams.
•Build and run large-scale, fault-tolerant, distributed systems to keep the Genesis platform reliable and performant for customers.
•Optimize existing systems, build infrastructure, and eliminate toil through automation to improve uptime and rate of change.
•Promote a culture of reliability by guiding technical decisions that balance system health with product priorities.
•Ensure long-term service health, maintainability, and reliability via capacity planning, performance analysis, and proactive incident prevention.

Key Requirements

•Strong software engineering skills (e.g., 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 bringing cross-team perspective to build reusable solutions.

Skills:CollaborationIntellectual curiosityTechnical leadershipProblem-solving

Tech Stack:PythonGoKubernetesCloud FunctionsNALSD

Company Brief

Genesis AI

Genesis AI is a global physical AI research lab and full‑stack robotics company building a universal robotics foundation model and horizontal platform to enable general‑purpose robots and scale automation of physical labor.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2024

Website LinkedIn

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Genesis AI

2 months ago

Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Paris, London

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Address ambiguous reliability, scalability, and efficiency challenges across SRE and development teams.
•Build and run large-scale, fault-tolerant, distributed systems to keep the Genesis platform reliable and performant for customers.
•Optimize existing systems, build infrastructure, and eliminate toil through automation to improve uptime and rate of change.
•Promote a culture of reliability by guiding technical decisions that balance system health with product priorities.
•Ensure long-term service health, maintainability, and reliability via capacity planning, performance analysis, and proactive incident prevention.

Key Requirements

•Strong software engineering skills (e.g., 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 bringing cross-team perspective to build reusable solutions.

Skills:CollaborationIntellectual curiosityTechnical leadershipProblem-solving

Tech Stack:PythonGoKubernetesCloud FunctionsNALSD

Company Brief

Genesis AI

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2024

Website LinkedIn