• 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.