Software Engineer - Automation

Description

Summary: An Automation Engineer designs, develops, and maintains internal tooling solutions to enhance operational efficiency and streamline support processes, integrating AI/Agent/MCP capabilities. Highlights: 1. Develop and maintain internal tooling solutions to streamline operations 2. Apply AI and intelligent automation to improve workflows and tooling 3. Collaborate with cross-functional teams to deliver automation initiatives 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. Requirements: **Recommended Experience:** * 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 ******Technical skills:** * 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 **Key behaviors:** * **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 **Preferred:** * 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 What you get to do:: **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 you can look forward to:: 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. Travel: \< 10%