We are a fast growing organization, always looking for new members to our family. INVOKE provides the technology, implementation, and lifecycle expertise to solve business challenges through the lens of intelligent automation technologies like Robotic Process Automation and Artificial Intelligence.

About the Role

We’re looking for a hands-on Python Engineer to maintain and enhance production automations built on Aria, our human-in-the-loop platform for document intelligence and RPA orchestration.

Aria combines OCR, large language models (LLMs), and RPA to automate document-based business processes such as invoice extraction, validation, and data entry into ERP or web systems. Most of the automation logic runs as Python services hosted in AWS (Lambda/Step Functions), while certain workflows use Selenium or desktop RPA for specialized system interactions.

You will be the escalation point — responsible for ensuring automation uptime, investigating incidents, deploying fixes, and improving reliability and monitoring.

Key Responsibilities

• Support & Troubleshoot Production Automations
• Monitor and triage failures in AWS Lambda and Step Function workflows.
• Debug and stabilize Selenium or desktop RPA automations running on EC2 or Windows environments.
• Ensure business rules and workflow configurations in Aria run smoothly end-to-end.
• Enhancements & Maintenance
• Modify and deploy Python automation logic for data extraction, validation, and ERP posting.
• Extend integrations with external systems and APIs (e.g., ERP, OEM, or vendor portals).
• Perform data corrections and small enhancements involving JSON, Excel, or CSV processing.
• Operations & Security
• Manage secrets and environment variables through AWS Secrets Manager.
• Maintain logs and alerts in CloudWatch; improve observability and traceability.
• Collaborate with the Cloud Engineering team on serverless deployments and environment updates.
• Stakeholder Collaboration
• Serve as the point of contact for Tier-2 escalations.
• Communicate clearly with clients and internal teams to prioritize issues and meet SLAs.
• Document incident resolutions, fixes, and preventive measures.

Required Technical Skills

• Python (Advanced): solid experience with modular code, REST APIs, error handling, and data manipulation using pandas/openpyxl.
• AWS Cloud: proficient with Lambda, Step Functions, S3, Secrets Manager, and CloudWatch.
• RPA Tools:
• Web automation: Selenium (Python), headless browser control, file handling.
• Desktop automation: pyautogui, pywin32, or similar tools for Windows UI automation.
• Data Handling: JSON, Excel, and CSV transformations for structured data exchange.
• Integration: API authentication, file uploads/downloads, and data exchange between systems.
• Debugging: strong ability to interpret logs, trace issues, and reproduce production errors.

Nice-to-Have Skills

• Understanding of OCR/LLM workflows for data extraction and validation.
• Familiarity with UiPath, Blue Prism, or other RPA platforms.
• Basic SQL or MongoDB knowledge for querying and updating datasets.
• Exposure to Ruby on Rails or React (for Aria configuration awareness).
• Experience with Docker or serverless packaging tools.

Soft Skills

• Strong ownership mentality; able to manage production automations independently.
• Excellent communication with technical and non-technical stakeholders.
• Effective at prioritizing incidents under SLA pressure.
• Clear and consistent documentation practices.
• Collaborative attitude with a focus on continuous improvement.