Automation Engineer

SUMMARY:
Our client is looking for an experienced Automation Engineer to join their engineering and automation team. This role is suited to a technically strong, detail-oriented, and solutions-driven software engineering professional with hands-on experience in Intelligent Document Processing (IDP), OCR technologies, and enterprise automation solutions.

The successful candidate will be responsible for designing, developing, implementing, and optimising intelligent document processing workflows and automation solutions across cloud and enterprise environments. The role requires strong Python development capabilities, experience with IDP platforms, OCR technologies, API integrations, and the ability to deliver scalable, high-accuracy document automation solutions that drive operational efficiency and business value.

POSITION INFO:

Key Responsibilities:

• Design, develop, and implement intelligent document processing workflows and automation solutions
• Build and configure OCR engines, document classifiers, extraction templates, and validation workflows
• Develop document preprocessing pipelines including image enhancement, deskewing, denoising, and format optimisation
• Create extraction models, business validation rules, confidence scoring mechanisms, and exception handling workflows
• Implement cloud-based and on-premise document AI solutions
• Develop RESTful APIs, microservices, and enterprise system integrations
• Integrate automation solutions with ERP, CRM, ECM, databases, and enterprise platforms
• Develop custom Python scripts, reusable utilities, and automation components for document processing workflows
• Implement batch processing, real-time processing, and asynchronous workflows
• Work with messaging systems, containerised environments, and CI/CD pipelines
• Implement monitoring, logging, and alerting solutions for operational visibility
• Troubleshoot extraction issues, OCR inaccuracies, processing failures, and integration challenges
• Perform performance optimisation, root cause analysis, and error recovery implementation
• Collaborate with solution architects, software engineers, business analysts, and operations teams
• Support UAT processes, production deployments, post-deployment maintenance, and knowledge transfer initiatives
• Create and maintain technical documentation, runbooks, API documentation, and configuration guides
• Participate in code reviews, Agile ceremonies, and technical discussions to promote development best practices

Requirements:

• Minimum 3+ years’ hands-on experience developing and implementing IDP or OCR-based solutions
• Strong Python development experience for automation, document processing, and API integrations
• Experience with enterprise IDP platforms and OCR technologies
• Strong understanding of document extraction workflows and automation processes
• Experience implementing cloud document AI and automation solutions
• Strong RESTful API development and enterprise integration experience
• Experience with SQL databases and version control systems
• Strong understanding of document processing techniques including image preprocessing, classification, extraction, and validation
• Experience working with message queuing systems, containerisation technologies, and CI/CD environments
• Exposure to computer vision, NLP, and machine learning technologies advantageous
• Strong troubleshooting, debugging, and performance optimisation experience
• Experience operating within Agile/Scrum delivery environments
• Understanding of secure document handling and data privacy standards advantageous

Technical & Professional Skills:

• Advanced Intelligent Document Processing (IDP) development and configuration
• Strong Python programming and scripting expertise
• OCR implementation, optimisation, and troubleshooting
• API development and enterprise system integration
• Document processing pipeline architecture and automation
• Cloud document AI implementation and support
• Performance tuning and production support
• CI/CD pipeline implementation and DevOps exposure
• Monitoring, logging, and observability best practices
• Strong analytical problem-solving and troubleshooting skills
• Documentation, collaboration, and stakeholder engagement capabilities

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field
• Relevant certifications in automation, cloud technologies, AI, or Python development advantageous
• Experience working with enterprise automation and document processing solutions
• Exposure to financial services, healthcare, insurance, legal, or shared services environments advantageous
• Experience supporting large-scale document processing environments advantageous
• Knowledge of handwriting recognition, signature verification, and OCR optimisation techniques advantageous

Key Competencies:

• Strong analytical and problem-solving abilities
• High attention to detail and quality-focused mindset
• Excellent communication and collaboration skills
• Ability to work independently and within cross-functional teams
• Strong troubleshooting and technical support capabilities
• Results-driven and proactive mindset
• Adaptability and willingness to learn new technologies
• Strong ownership mentality and accountability
• Passion for automation, innovation, and continuous improvement
• Commitment to knowledge sharing and development best practices

Location:

• Johannesburg (Woodmead)

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