Automation Engineer (Customer Service)

Lever, Inc.; España; Presencial; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

Career growth

Flexible work environment

Impactful AI projects

International team

Fast-moving culture

AI infra exposure

Developer tooling

Descripción de la vacante

Lever, Inc. is partnering to fill an Automation Engineer (Customer Service) role in Spain. You will design and build automated workflows, AI-powered agents, and self-service experiences that reduce manual effort in customer operations.

The position blends backend engineering with applied AI, requiring hands-on work with REST APIs, LLMs, and workflow tools. You will own automation from design to deployment in a fast-moving, international environment.

Formación

• 3+ years of software engineering, focused on automation or backend development.
• Strong Python development skills for production-grade automation.
• Experience with REST APIs and integrating multiple systems.
• Experience with LLM APIs, AI agents, or applied AI technologies.
• English proficiency and ability to work with international teams.

Responsabilidades

• Build agents and automation scripts for quota processing in Customer Service.
• Develop self-service workflows for billing and data requests.
• Design, build, and maintain LLM-powered agents to resolve tickets.
• Develop and maintain N8N workflows for notifications and operations.
• Integrate automation with Jira, billing systems, and internal platforms.
• Contribute to Terraform configurations and cloud infrastructure automation.
• Maintain and improve automation as volumes grow.
• Collaborate with CS and engineering to automate repetitive processes.
• Evaluate technologies to improve efficiency and quality.

Conocimientos

3+ years of software engineering

Python development

REST APIs

LLM APIs

Automation design

Problem solving

English proficiency

Collaboration with stakeholders

Herramientas

N8N

Temporal

Jira APIs

Terraform

Kubernetes

Cloud platforms

Descripción del empleo

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Automation Engineer (Customer Service) based in Spain.

This is an engineering role focused on transforming repetitive Customer Service operations into scalable, reliable automation.
You will design and build automated workflows, AI-powered agents, self-service experiences, and integrations with internal systems.
Your work will directly reduce manual effort while helping support teams handle growing customer volumes more efficiently.
You will work hands-on with ticketing data, APIs, LLMs, workflow automation tools, and cloud infrastructure.
The role combines backend engineering with applied AI, giving you the opportunity to solve practical operational challenges at scale.
You will also contribute to automation for billing, quota management, customer notifications, and planned infrastructure operations.
The environment is fast-moving and international, with substantial ownership and opportunities to work on impactful AI infrastructure projects.

Accountabilities

• Build agents and automation scripts that streamline quota request processing, one of the largest areas of manual engineering work within Customer Service.
• Develop self-service workflows for billing and data-related requests, including payment method updates, account deletion, marketing opt-outs, and invoice retrieval.
• Design, build, and maintain LLM-powered agents that help support engineers resolve complex customer tickets more efficiently.
• Develop and maintain N8N workflows for customer notifications and event-driven operational processes.
• Integrate automation solutions with REST APIs, including Jira, billing systems, and other internal platforms.
• Contribute to tooling supporting planned cluster operations, including infrastructure workflows, Terraform configurations, and operational runbooks.
• Maintain and continuously improve existing automation as customer and ticket volumes increase.
• Design automation systems with reliability, maintainability, scalability, and operational simplicity in mind.
• Work closely with Customer Service and engineering stakeholders to identify repetitive processes and convert them into effective automated solutions.
• Evaluate and adopt appropriate technologies and approaches to improve the efficiency and quality of customer-facing operations.

Requirements

• 3+ years of software engineering experience, preferably with a focus on automation, backend development, integrations, or related areas.
• Strong Python development skills and the ability to build maintainable production-quality automation.
• Hands-on experience working with REST APIs and integrating multiple external or internal systems.
• Practical experience working with LLM APIs, AI agents, or other applied AI technologies.
• Strong understanding of how to design reliable, maintainable, and scalable automation systems.
• Ability to investigate operational problems, identify opportunities for automation, and translate requirements into practical technical solutions.
• Strong problem-solving skills and a proactive approach to identifying improvements.
• Comfortable collaborating with non-engineering stakeholders and translating operational needs into technical solutions.
• Working proficiency in English.
• Experience with N8N, Temporal, or similar workflow automation platforms is a plus.
• Experience with Jira APIs or other ticketing systems is a plus.
• Experience with Terraform or cloud infrastructure is a plus.
• Knowledge of Kubernetes and containerization is a plus.
• Previous experience in support engineering, customer operations, or an adjacent function is a plus.

Benefits

• Competitive compensation.
• Career growth and continuous learning opportunities.
• Flexible working environment with a high degree of ownership.
• Opportunity to work on practical AI and automation projects with direct operational impact.
• International environment with highly experienced and technically skilled teams.
• Fast-moving culture focused on meaningful impact, experimentation, and continuous improvement.
• Opportunity to contribute to the development of automation systems supporting a growing AI infrastructure platform.
• Exposure to modern technologies spanning LLMs, APIs, workflow automation, cloud infrastructure, and developer tooling.