The Data Warehouse Test Engineer will perform functional, regression, and integration testing on complex data systems. They are responsible for data reconciliation, validation, and writing detailed defect reports to ensure high data quality.
The AI Architect will design and implement a scalable multi-agent AI ecosystem to automate complex customer journeys across various touchpoints. They will bridge the gap between LLM orchestration and legacy telecom architectures while ensuring safety and compliance through deterministic guardrails.
The developer will be responsible for Duck Creek Claims implementation and integration development. They will also provide production support and perform debugging tasks.
The Support Specialist will manage the administration and day-to-day operations of the NOVAtime and Workforce platforms. They will act as a liaison between vendors and stakeholders while troubleshooting system incidents and maintaining data integrations.
The SRE Leader will design and implement scalable, high-performance enterprise applications while leveraging AI and Generative AI technologies to improve system reliability. They will collaborate with cross-functional teams to build automation solutions, manage CI/CD pipelines, and ensure operational excellence through rigorous monitoring and capacity planning.
The Data Warehouse Test Engineer will design and execute complex functional, regression, and integration test suites for AI/ML and data systems. They are responsible for validating AI-generated SQL queries against multi-table star schemas and documenting precise defect reports.
Design, develop, and maintain CMF UI pages while ensuring adherence to UI standards and best practices. Collaborate with business users to translate MES requirements into intuitive, responsive interfaces using Angular.
The engineer will be responsible for programming, integrating, and commissioning Fanuc robotic systems within industrial automation environments. They will also perform troubleshooting and maintenance tasks to ensure optimal system performance.
The AI Solutions Architect will lead the strategy, design, and implementation of enterprise-grade Generative AI and agentic solutions across finance and corporate functions. This role involves continuous benchmarking of LLMs, optimizing AI performance, and acting as a strategic advisor to executive leadership.
The engineer will analyze legacy IBM InfoSphere DataStage workflows and translate business logic for PySpark implementation on Databricks. They are responsible for designing automated testing frameworks to ensure data integrity and performing comprehensive reconciliation between legacy and cloud environments.
The GCP Architect will design and implement API-first strategies using Apigee and manage enterprise integration hubs using Google Cloud services. They are responsible for establishing API governance, ensuring robust security, and modernizing legacy systems into event-based architectures.
Manage and evolve Jira Cloud configurations, including workflows, permissions, and automation rules to ensure platform scalability. Design and implement AI-assisted workflows and agent-based automations to optimize triage and routing.
