Hybrid Automation Engineer

at Boldr

• Job title: Automation Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Cloud, ETL, Google Cloud Platform, JavaScript, MySQL, Node.js, Postgres, Python, SQL
• Location requirements: Hybrid, Pasig, Philippines

About the role

• Automation Engineer responsible for solution implementation and support in Boldr's application and data platforms. Operate in a hybrid environment focusing on automation and data integration solutions.

Responsibilities

• Solution Implementation: Translate 'To-Be' process blueprints and functional requirements (developed by the operational excellence lead) into deployable technical solutions, prioritizing security and reliability.
• Platform Development: Build, test, and maintain low-code applications (e.g., Appsmith, internal tools) and automation workflows (e.g.,n8n, custom scripting) that directly address the bottlenecks identified in business processes.
• Integration Specialist: Ensure secure and reliable data flow and connectivity between various platforms using APIs and custom scripts.
• Code Review: Conduct internal code reviews for automation scripts and Appsmith changes before deployment.
• Data Pipeline Coverage: Provide essential Tier 1/Tier 2 support for the Data Engineering function. This includes monitoring production ETLs (Airflow DAGs), performing first-line troubleshooting, checking logs, and safely executing restart procedures when the Lead Data Engineer is unavailable.
• Software Support: Provide development support to the Product/Solution team during periods of slow workflow automation demand, focusing on internal application maintenance, bug fixes, and feature enhancements.
• Data Flow & Quality: Maintain a solid grasp of data flow mechanisms, validation techniques, and ETL concepts to ensure that data consumed by the automation layer is accurate and reliable.

Requirements

• Curious and authentic, just like us! #beboldr
• Versatile: You thrive in a dynamic, hybrid environment, easily shifting focus between solving a deployment bug and troubleshooting a data pipeline failure.
• Detail-Oriented: Focused on delivering clean code and accurate data, understanding the necessity of meticulous logging and testing.
• Resilient: Willing to quickly learn and step into critical functions (like ETL monitoring) to ensure business continuity during team absences.
• Collaborative: Excellent at communicating technical constraints and solutions clearly to non-technical stakeholders and the Data Engineering Lead.
• A Bachelor’s Degree in a relevant field or equivalent experience.
• Software Development: 3+ years of hands-on experience in modern software development, specifically using languages like Python (for scripting/data handling) and/or JavaScript/Node.js (for application/integration logic).
• Automation Execution: Proven experience executing and maintaining workflows on automation platforms (e.g. n8n, Zapier, Make, etc.).
• Data Engineering Fundamentals: Strong foundational knowledge of data flow concepts, relational databases (PostgreSQL/MySQL), and basic SQL proficiency. Experience with ETL/ELT concepts is required.
• Cloud Platform Exposure: Practical experience using core services in cloud environments (AWS, GCP) for deployment, logging, and monitoring purposes.
• Tooling Experience: Direct experience working with/integrating HRIS, ATS, or CRM tools (e.g. BambooHR, Rippling, Zendesk, Hubspot).
• Availability to align with Eastern Time Zone.