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Automation Engineer

fully flexible
Remote: 
Full Remote
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Offer summary

Qualifications:

Strong expertise in web technologies (HTML, CSS, JavaScript) and API development (RESTful, GraphQL)., Experience with server-side frameworks such as Express.js, Django, or Spring Boot., Proficiency in scripting languages like Bash or Python for automation tasks., 3-5 years of experience in automation engineering or AI/ML integration..

Key responsabilities:

  • Design, implement, and optimize internal tools to enhance operational efficiency and automate workflows.
  • Develop and maintain internal tooling solutions, incorporating AI/ML capabilities where applicable.
  • Collaborate with internal teams to understand automation requirements and deliver effective solutions.
  • Monitor and improve existing tools, ensuring they align with best practices in AI and automation.

Paymentology logo
Paymentology Financial Services Scaleup https://www.paymentology.com
201 - 500 Employees
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Job description

Description

Paymentology is the first truly global issuer-processor, giving banks and fintechs the technology, team and experience to rapidly issue and process Mastercard, Visa and UnionPay cards across more than 60 countries, at scale. 

Our advanced, multi-cloud platform, offering both shared and dedicated processing instances, vast global presence and richer, real-time data, set us apart as the leader in payments.


What you get to do:

Tooling Development and Automation

Design, implement, and optimise internal tools to enhance operational efficiency and automate workflows.

  • Develop and maintain internal tooling solutions, incorporating AI/ML capabilities where applicable.
  • Identify and implement automation opportunities using AI and ML technologies.
  • Integrate SaaS platforms (e.g., HubSpot, Zendesk) with internal company tools via APIs and web technologies.
  • Develop and maintain documentation for tools, integrations, and automation processes.
  • Troubleshoot and resolve technical issues related to integrations, automation, and AI-powered solutions.

AI and Machine Learning Integration

Utilise AI/ML frameworks to enhance automation, improve processes, and increase operational effectiveness.

  • Apply AI/ML technologies to optimise automation processes and workflows.
  • Develop and deploy AI/ML models to enhance support tools and internal systems.
  • Stay up to date with advancements in AI, ML, and automation technologies, ensuring their effective application.
  • Integrate AI/ML models into existing systems and workflows to drive innovation and efficiency.

Cross-Functional Collaboration

Work closely with internal teams to understand automation requirements and deliver effective solutions.

  • Collaborate with Operations teams to identify inefficiencies and opportunities for automation.
  • Work alongside Product, Engineering, and Support teams to develop AI-enhanced automation tools.
  • Ensure smooth communication between teams for seamless tool integration and process optimisation.
  • Provide technical guidance and support to internal teams using automation tools.

Continuous Improvement and Innovation

Enhance and refine automation solutions through continuous iteration and technological advancements.

  • Monitor and improve existing tools, ensuring they align with best practices in AI and automation.
  • Identify and implement enhancements to improve tool performance and user experience.
  • Adopt a proactive approach to problem-solving, optimising automation processes for efficiency.
  • Contribute to the development of best practices for internal tooling and automation solutions.

Requirements

What it takes to succeed:

Knowledge, Skills & Abilities

  • Strong expertise in web technologies (HTML, CSS, JavaScript) and API development (RESTful, GraphQL).
  • Experience with server-side frameworks such as Express.js (Node.js), Django (Python), or Spring Boot (Java).
  • Proficiency in scripting languages (e.g., Bash, Python) for automation tasks.
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and automation deployment tools.
  • Strong understanding of AI/ML model integration into existing workflows.
  • Excellent problem-solving skills with high attention to detail.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.
  • Ability to work independently and manage multiple priorities efficiently.

Years of Experience

  • 3-5 years of experience in automation engineering, AI/ML integration, or internal tooling development.
  • Experience working cross-functionally with Product, Engineering, and Support teams to drive automation initiatives.
  • Proven track record in optimising workflows, reducing manual processes, and improving operational efficiency.

What you can look forward to:

At Paymentology we value making a difference to the lives of the people who work for us and who live in the communities where we operate. You can look forward to working with a diverse, global team where Paymentologists at all levels play an important part in our global mission to advance the world through payments and make a difference on a global scale. 


Required profile

Experience

Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Time Management
  • Collaboration
  • Communication
  • Problem Solving

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