Automation Engineer (Customer Service)

Jobicy; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI

International environment

Job summary

Nebius, a leading AI cloud platform, seeks an Automation Engineer to design and build systems that move repetitive customer service work into automated flows. You will work directly with ticketing data, build LLM agents, develop self-service flows, and integrate solutions with Nebius systems.

In this role you will craft scalable automation, maintain existing tooling, and collaborate with cross-functional teams to support enterprise customers worldwide.

Qualifications

• 3+ years of software engineering experience focusing on automation, backend development, or system integrations.
• Strong Python skills.
• Hands-on experience with REST APIs and integrating external systems.
• Practical experience with LLM APIs or building AI agents.
• Understanding of how to build reliable, maintainable automation systems.

Responsibilities

• Build agents and scripts to automate quota request processing — the largest single category of manual engineer work in the queue.
• Develop self-service flows for billing and DSR requests: payment method updates, account deletion, marketing opt-out, invoice retrieval.
• Build and maintain LLM-powered agents that help support engineers handle complex tickets in real time.
• Develop N8N workflows for customer notifications and event-driven processes.
• Integrate solutions with Jira API, billing API, and internal Nebius systems.
• Contribute to tooling for planned cluster operations (Terraform, runbooks) and maintain automation as ticket volumes grow.

Skills

Automation engineering focus

Python

REST APIs

LLM APIs / AI agents

Maintainable automation

English proficiency

Tools

N8N

Temporal

Jira API

Terraform

Kubernetes

Job description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

About the team

The Customer Service team at Nebius handles thousands of requests every month — quota applications, billing operations, planned enterprise cluster upgrades, and incident notifications. Volume has grown 130% over seven months and continues to grow alongside our customer base.

We are building a dedicated automation team to turn repetitive manual work into scalable, maintainable systems: LLM-powered agents, self-service flows, and infrastructure tooling.

The role

We are looking for an Automation Engineer to design and build systems that move repetitive Customer Service work into automated flows. You will work directly with ticketing system data, build LLM agents, develop self-service flows, and integrate solutions with internal Nebius systems.

Your responsibilities will include:

• Build agents and scripts to automate quota request processing — the largest single category of manual engineer work in the queue
• Develop self-service flows for billing and DSR requests: payment method updates, account deletion, marketing opt-out, invoice retrieval
• Build and maintain LLM-powered agents that help support engineers handle complex tickets in real time
• Develop N8N workflows for customer notifications and event-driven processes
• Integrate solutions with Jira API, billing API, and internal Nebius systems
• Contribute to tooling for planned cluster operations (Terraform, runbooks)
• Maintain and improve existing automation as ticket volumes grow

We expect you to have:

• 3+ years of software engineering experience with a focus on automation, backend development, or system integrations
• Strong Python skills
• Hands-on experience working with REST APIs and integrating external systems
• Practical experience with LLM APIs or building AI agents
• Understanding of how to build reliable, maintainable automation systems
• Working proficiency in English

It will be an added bonus if you have:

• Experience with N8N, Temporal, or similar workflow automation tools
• Knowledge of Jira API or other ticketing systems
• Experience with Terraform or cloud infrastructure
• Understanding of Kubernetes and containerization
• Background in support engineering or adjacent functions

Benefits & Perks:

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

What’s it like to work at Nebius:

Fast moving – Bold thinking – Constant growth – Meaningful impact – Trust and real ownership – Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.