Automation Engineer

Paymentology

3d

About The Position

An Automation Engineer designs, develops, and maintains internal tooling solutions that enhance operational efficiency and streamline support processes. This role focuses on building and integrating automation solutions across internal systems and SaaS platforms, applying AI/Agent/MCP capabilities where they add clear value. Working closely with cross-functional teams, you'll identify automation opportunities, deliver reliable solutions, and continuously improve internal tools and workflows that power Paymentology's operations. Build and maintain automation solutions: Develop, maintain, and improve internal tooling solutions that streamline operational processes Integrate SaaS platforms (e.g. HubSpot, Zendesk) with internal systems using APIs and web technologies Leverage workflow automation platforms (e.g. n8n) to rapidly design, prototype, and deploy automation flows Determine when low-code/no-code automation is appropriate versus when custom-built solutions are required Develop and maintain clear documentation for tools, integrations, and automation processes Troubleshoot and resolve technical issues related to integrations and automated workflows Apply AI and intelligent automation:  Evaluate where AI-driven solutions can meaningfully improve workflows, tooling, and internal processes Integrate AI services and platforms (e.g. LLMs, classification, summarisation, routing, decision support) into existing tools and automation pipelines Design automation workflows that incorporate AI responsibly, with appropriate safeguards, observability, and human-in-the-loop controls Stay informed on emerging AI capabilities and assess their practical applicability to internal use cases Collaborate with Product and Engineering teams to ensure AI-enabled solutions are reliable, scalable, and aligned with business needs Collaborate and deliver: Partner with Operations teams to identify inefficiencies and opportunities for automation Collaborate with Product, Engineering, and Support teams to design and deliver automation and AI-enabled tooling Act as a technical advisor on automation approaches, trade-offs, and best practices Ensure clear communication and alignment across teams for seamless tool integration and process optimisation  Drive continuous improvement: Monitor and improve existing tools and automations to ensure performance, reliability, and usability Identify opportunities to simplify, optimise, or retire tooling as needs evolve Take a proactive, problem-solving approach to improving automation efficiency and user experience Contribute to the development and adoption of best practices for internal tooling, automation, and applied AI At Paymentology , it’s not just about building great payment technology, it’s about building a company where people feel they belong and their work matters. You’ll be part of a diverse, global team that’s genuinely committed to making a positive impact through what we do. Whether you’re working across time zones or getting involved in initiatives that support local communities, you’ll find real purpose in your work – and the freedom to grow in a supportive, forward-thinking environment.

Requirements

• 3-5 years of experience in software development, automation engineering, internal tooling development, or AI integration
• Experience working cross-functionally with Product, Engineering, and Support teams to deliver automation initiatives
• Proven track record of optimising workflows, reducing manual processes, and improving operational efficiency
• Interest and personal exploration of latest AI, Agent, MCP and other related technologies
• Proficiency in Python and/or Node.js for automation and software development
• Familiarity in web technologies (HTML, CSS, JavaScript) and API development (RESTful, GraphQL)
• Experience with server-side frameworks such as Express.js (Node.js), Django/Flask (Python), or Spring Boot (Java)
• Proficiency in scripting languages (e.g. Bash, Python) for automation and integration tasks
• Familiarity with AI frameworks (A2A, ADK, LangGraph, LangChain) and AI platforms, APIs, and tooling
• Good understanding of integrating AI-driven capabilities into existing systems and workflows
• Knowledge of SaaS platform integrations (HubSpot, Zendesk, etc.) and API design patterns
• Understanding of CI/CD pipelines, version control (Git), and DevOps practices
• Problem-solving mindset: Excellent problem-solving skills with high attention to detail
• Collaboration: Strong communication skills for working effectively with cross-functional teams
• Independence: Ability to work independently, manage multiple priorities, and deliver solutions efficiently
• Innovation: Proactive approach to identifying automation opportunities and applying new technologies
• Quality focus: Commitment to writing clean, maintainable, well-tested code

Nice To Haves

• Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure automation
• Experience with observability and monitoring tools (DataDog, Grafana, Prometheus)
• Familiarity with containerization (Docker, Kubernetes)
• Knowledge of Infrastructure as Code (Terraform, CloudFormation)
• Experience with serverless architectures and event-driven systems

Responsibilities

• Build and maintain automation solutions: Develop, maintain, and improve internal tooling solutions that streamline operational processes Integrate SaaS platforms (e.g. HubSpot, Zendesk) with internal systems using APIs and web technologies Leverage workflow automation platforms (e.g. n8n) to rapidly design, prototype, and deploy automation flows Determine when low-code/no-code automation is appropriate versus when custom-built solutions are required Develop and maintain clear documentation for tools, integrations, and automation processes Troubleshoot and resolve technical issues related to integrations and automated workflows
• Apply AI and intelligent automation:  Evaluate where AI-driven solutions can meaningfully improve workflows, tooling, and internal processes Integrate AI services and platforms (e.g. LLMs, classification, summarisation, routing, decision support) into existing tools and automation pipelines Design automation workflows that incorporate AI responsibly, with appropriate safeguards, observability, and human-in-the-loop controls Stay informed on emerging AI capabilities and assess their practical applicability to internal use cases Collaborate with Product and Engineering teams to ensure AI-enabled solutions are reliable, scalable, and aligned with business needs
• Collaborate and deliver: Partner with Operations teams to identify inefficiencies and opportunities for automation Collaborate with Product, Engineering, and Support teams to design and deliver automation and AI-enabled tooling Act as a technical advisor on automation approaches, trade-offs, and best practices Ensure clear communication and alignment across teams for seamless tool integration and process optimisation
• Drive continuous improvement: Monitor and improve existing tools and automations to ensure performance, reliability, and usability Identify opportunities to simplify, optimise, or retire tooling as needs evolve Take a proactive, problem-solving approach to improving automation efficiency and user experience Contribute to the development and adoption of best practices for internal tooling, automation, and applied AI

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed