Client Platform Engineer I
Location: Manila, Philippines; Hybrid
Kroll Business Services (KBS) provides the operational foundation and shared technology platforms that power Kroll’s global service lines. Our teams deliver technology, process, and data solutions that enable efficiency, consistency, and scalability across the firm.
Support Operations is a core function within KBS responsible for production operations, client platform engineering, data management, and technology support for our restructuring, settlement, and corporate administration businesses. We operate in a high-performance environment where responsiveness, reliability, and collaboration are key.
KBS team members work across global offices — with hubs in Manila, India, the UK, and North America — to support mission-critical business workflows and deliver an exceptional experience to both internal and external clients.
Position Summary
The Client Platform Engineer I designs, develops, and maintains the technical frameworks that power KBS client data collection websites and integrations.
This role is hands-on and production-oriented — building reusable form components, API integrations, and automation scripts to support rapid, reliable platform delivery.
Key Responsibilities
Develop and maintain XML/XForms-based data collection websites and reusable components.
Implement Java services and controllers (Spring/Struts) deployed on Tomcat/JBoss.
Build and maintain REST/SOAP integrations and data pipelines.
Support custom monday.com integrations using GraphQL/REST APIs and webhooks.
Develop and test Databricks Jobs/Workflows for ETL and dataset preparation.
Participate in incident response, troubleshooting, and root-cause analysis.
Collaborate with Analysts and QA to ensure reliable, documented deployments.
Required Technical Skills & Experience
Proficiency in XML, XSD, XPath, and XSLT transformations.
Java development (Spring/Struts) and REST API fundamentals.
Experience with monday.com integrations or automations via APIs.
SQL/T-SQL experience for ETL and data transformation.
Familiarity with CI/CD, version control (Git), and environment promotion.
Working knowledge of Tomcat/JBoss and basic cloud exposure (AWS or Azure).
Excellent debugging and systems-thinking ability.
Nice to Have
Experience with Databricks, Power BI datasets, or RLS models.
Familiarity with SharePoint, Microsoft Graph, or SendGrid APIs.
Scripting (Python, PowerShell) for automation tasks.
What Success Looks Like
Reliable, maintainable code and integrations.
Platform issues are diagnosed and resolved efficiently.
Strong collaboration and support for Analysts and QA teams.
Key Performance Indicators (KPIs)
Deployment success rate and MTTR.
Integration and pipeline uptime.
Code review quality and documentation completeness.
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