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, communicate project status, use AI tools to automate delivery monitoring and reporting, and drive continuous improvement.
Design and implement end-to-end document intelligence pipelines on AWS while developing and optimizing machine learning models for document classification and extraction. You will own features from research through production deployment and establish quality metrics for extraction accuracy.
Translate business requirements into ControllerView configurations and support the design, implementation, and enhancement of AxiomSL regulatory reporting solutions. Analyze and improve data flows and reporting processes, validate data quality, support report generation and exception management, and document business processes while collaborating with business, risk, compliance, and technology stakeholders.
The Solutions Consultant will redesign and optimize HubSpot pipeline structures, automation workflows, and data governance practices to improve sales efficiency. They will also partner with sales leadership to develop custom reporting dashboards and provide enablement support to ensure platform adoption.
You will own the quality strategy for the FLE project, designing and maintaining CI/CD pipelines and automated test frameworks using Playwright and TypeScript. Additionally, you will lead root cause analysis, standardize QA practices, and implement AI-based solutions to enhance testing workflows.
The engineer will provide architectural oversight, lead technical guild activities, and ensure the quality and scalability of software solutions. They will also collaborate across teams to mentor engineers, define coding standards, and manage project deliverables.
Develop and execute manual and automated tests for front-to-back Calypso workflows, including integration, regression, position-conversion, and user acceptance testing. Validate data, interfaces, batch processes, and downstream outputs; track defects, support test environments and CI/CD execution, and report testing progress and risks.
Design and maintain highly available, scalable, and secure Azure-hosted cloud environments. Collaborate with development and security teams to ensure optimal performance, cost efficiency, and compliance with industry standards.
Design and maintain scalable, secure, and highly-available Azure-hosted cloud solutions while acting as a technical champion for DevOps and development teams. You will also optimize cloud resources, implement disaster recovery strategies, and provide technical mentorship to junior staff.
Design, build, and maintain core platform components including CI/CD, access management, and compute clusters. Lead the evolution of platform abstraction layers and manage multi-account AWS landing zones.
Collaborate with cross-functional teams to design and execute comprehensive test scenarios for AxiomSL regulatory reporting solutions. Perform end-to-end data validation, reconciliation, and defect management to ensure compliance with business and regulatory standards.
Collaborate with cross-functional teams to translate business requirements into ControllerView configurations and support the design of AXIOM regulatory reporting solutions. Analyze and optimize data flows, perform data mapping and reconciliation, and ensure adherence to global regulatory standards.
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.
You will be responsible for hands-on development, automation, and improving the performance and scalability of applications. Additionally, you will manage database optimization, containerized environments, and CI/CD pipelines within an AWS stack.
Design, develop, and maintain scalable backend applications and microservices using Java, Spring Boot, and Quarkus. Implement event-driven solutions on AWS and enhance observability practices within an Agile Scrum environment.
Build and maintain core platform components including SSO, networking, and CI/CD pipelines while managing AWS landing zones and container clusters. Design platform 'golden paths' and provide self-service tools to enable fast and secure deployments for distributed teams.
Design and evolve cloud-native, service-oriented architectures on Microsoft Azure with a focus on scalability and performance. Lead the integration of AI and Generative AI capabilities into core products while driving engineering productivity through intelligent automation.
