Design and implement end-to-end document intelligence pipelines on AWS while developing and optimizing ML models for document classification and extraction. Collaborate with subject matter experts to refine requirements and own features from research through production deployment and monitoring.
Design, develop, and maintain scalable backend applications and microservices using Java and Spring Boot. Collaborate with cross-functional teams to analyze requirements and implement event-driven architectures using Kafka.
Design and implement reusable Claude Code skills by collaborating with business stakeholders to translate requirements into executable AI agent workflows. Provide technical leadership to the engineering team by defining standards, reviewing code, and establishing evaluation strategies for AI solutions.
Design, implement, and maintain reusable Claude Code Skills by collaborating with business stakeholders to translate requirements into executable AI workflows. Provide technical leadership to the engineering team by reviewing code, defining standards, and establishing evaluation strategies for AI agent performance.
Develop performant front-end interfaces using React and Next.js while building scalable enterprise APIs with Node.js and TypeScript. Manage cloud infrastructure within the AWS ecosystem and leverage AI tools to optimize development workflows.
Design and develop backend applications and microservices using Java and Quarkus while maintaining frontend solutions with Angular. Implement event-driven solutions on AWS and contribute to observability practices and architectural decision-making.
Design, develop, and maintain scalable data pipelines and ELT processes while managing infrastructure using Terraform. Collaborate with cross-functional teams to deliver integrated data and web application solutions using modern technologies.
The Global Total Rewards Manager will lead the development, implementation, and administration of global compensation, benefits, and incentive programs. They will also partner with HR and Finance to ensure programs are competitive, compliant, and aligned with business objectives through data-driven insights.
Collaborate with cross-functional teams to translate business requirements into ControllerView configurations and support the design of AXIOM regulatory reporting solutions. You will also analyze data flows, perform data mapping and reconciliation, and ensure adherence to global regulatory standards.
Design, develop, and maintain web application components and user interfaces using TypeScript, Node.js, and React. Collaborate with cross-functional teams to implement technical solutions, manage AWS infrastructure, and ensure application reliability through automated testing.
Manage delivery across four engineering and QA squads, including Agile ceremonies, backlog health, dependencies, scope changes, and delivery metrics. Coordinate teams and stakeholders, provide clear status updates, proactively identify delivery risks, and use AI tools to automate reporting and monitoring.
Design and deploy end-to-end document intelligence pipelines on AWS, including scalable processing of large PDFs and machine learning models for classification, segmentation, and field extraction. Own features from research through production monitoring, collaborate with subject matter experts, and establish evaluation frameworks and accuracy metrics.
Design, build, and optimize ETL/ELT pipelines that turn customer and internal data into actionable datasets, and partner with Markets and Product teams on reporting tools and dashboards. Build and maintain data lakes and feature stores that support the ML Engineering team’s machine learning solutions for subrogation.
The engineer will provide architectural oversight, lead technical guild activities, and ensure high-quality software delivery through code reviews and unit testing. They will also collaborate across teams to define functional requirements and mentor other engineers to improve long-term maintainability.
Design, build, and maintain core platform components including CI/CD, observability, and multi-account AWS landing zones. Lead the evolution of platform abstraction layers and provide architectural guidance to engineering teams.
Collaborate with stakeholders to translate complex business processes into structured, executable instructions for AI agents. Design, implement, and maintain reusable Claude Code skills while providing technical leadership and defining platform-level standards.
