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Design and document end-to-end enterprise-grade digital architectures ensuring scalability, performance, and maintainability. Lead technical guidance for the team while overseeing the implementation of AI-driven solutions and cloud-based infrastructure.
Design, develop, and optimize scalable data transformation pipelines in BigQuery while driving the migration of enterprise data warehouse workloads from Teradata. Manage the Common Data Model hub and ensure data consistency, quality, and alignment with business KPIs across the platform.
The role involves defining and operationalizing an enterprise Data & AI Governance framework while providing hands-on implementation for data products and security controls. You will lead governance councils, manage metadata frameworks, and ensure compliance with regulatory requirements in financial services environments.
The developer will build and maintain intuitive Sigma workbooks and dashboards while ensuring data consistency and governance. They will also support the migration of existing Tableau dashboards to Sigma and collaborate with stakeholders to meet business requirements.
Manage the end-to-end health and operations of the Mirantis Webstore and cloud marketplace listings, including pricing, SKUs, and private offer workflows. Coordinate cross-functional projects, maintain documentation in Jira, and drive process automation using AI tools.
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Diagnose and resolve hardware, software, and network server issues while working with cloud technologies. Provide technical support and maintain hardware monitoring systems.
The Business Developer will manage the commercial development of industrial building solutions within the Grand Est region by prospecting new clients and nurturing existing relationships. They are responsible for conducting site visits, preparing commercial offers, negotiating contracts, and coordinating project follow-up with internal teams.
You will design, build, and maintain scalable data collection integrations and connectors with various external platforms and APIs. Additionally, you will develop robust infrastructure to process, normalize, and move large volumes of data while ensuring high reliability and performance.
Design, develop, and manage scalable applications using Java, Spring Boot, and Python while implementing advanced microservices and AI-powered agentic workflows. Collaborate with cross-functional teams to build internal developer platforms and optimize engineering practices across the organization.
The Systems Integration Manager acts as the voice of engineering to ensure design integrity and technical risk management throughout the project lifecycle. They are responsible for defining integration strategies, generating system specifications, and leading site-wide system testing to ensure contractual requirements are met.
The Field Service Engineer is responsible for installing, maintaining, and repairing company instruments at customer locations. They also provide technical support, manage spare parts inventory, and ensure all service activities comply with good laboratory practices.
Define and drive the long-term product vision, strategy, and architecture for HighLevel's Knowledge Bases and Ask AI platform. Lead the end-to-end development of AI-driven intelligence systems, ensuring high-quality retrieval, agent orchestration, and seamless user experiences across the platform.
You will own the end-to-end backend development, including technology selection, architecture design, and feature implementation. Additionally, you will set code quality standards, mentor other engineers, and integrate AI-assisted development into the daily workflow.
You will manage the technical operations of the AI-powered learning platform, acting as the primary interface between product, psychology, and development teams. Additionally, you will oversee quality assurance, cloud infrastructure administration, and technology scouting to drive the product roadmap.
The Network Engineer will be responsible for administering network equipment across multiple data centers and performing routine or emergency maintenance. They will also participate in internal projects, including network development, new location connectivity, and automation implementation.
Design, build, and operate core CIAM backend services to manage customer registration, authentication, and account lifecycle flows. You will integrate identity standards and collaborate with cross-functional teams to ensure secure, scalable, and reliable identity features.
Design, build, and operate core CIAM backend services to manage customer registration, authentication, and account lifecycle flows. Ensure identity features are delivered with strong security, reliability, and operational rigor across B2C and B2B platforms.
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The Legal Solutions Architect will design, develop, and deploy custom software applications, APIs, and AI-enabled workflow solutions to support legal operations. This role involves partnering with attorneys and IT teams to build scalable, secure, and maintainable technical solutions using both pro-code and low-code technologies.
Design, configure, and develop advanced ServiceNow solutions with a focus on CRM, CSM, and AI-driven intelligent workflow automation. Collaborate with stakeholders to translate business requirements into scalable, secure, and maintainable digital workflows.
Design, configure, and develop advanced ServiceNow solutions with a focus on AI-driven automation and intelligent workflows. Collaborate with architects and stakeholders to translate business requirements into scalable, secure, and maintainable enterprise service management solutions.
The Payroll Transformation Business Analyst will execute global payroll strategy, focusing on requirements gathering, system implementation, and process standardization. They will collaborate with IT, vendors, and local teams to optimize payroll governance, system configuration, and end-user experience.
The Principal Enterprise Architect will define and evolve the target-state enterprise systems and data architecture across major business domains. They will also lead efforts to rationalize technology stacks and establish governance for regulated, multi-environment operations.
The Sr. Staff Platform/Data Reliability Engineer will own the operational excellence, reliability, and observability of the Databricks platform. They will define CI/CD standards, compute policies, and enablement patterns to ensure a secure and scalable environment for enterprise data workloads.
The Senior Data & Analytics Engineer will build and maintain governed data models and semantic assets to enable domain self-service on the Databricks platform. This role involves partnering with business stakeholders to translate requirements into testable transformation logic while ensuring enterprise consistency.
The Security Track Engineer will analyze security findings for applications and infrastructure while coordinating server and OS patches. They will collaborate with app owners and third-party vendors to remediate identified vulnerabilities and implement necessary security changes.
Design and maintain scalable build systems and CI/CD pipelines while automating infrastructure provisioning using IaC tools. Collaborate with development teams to ensure system health, security, and performance through monitoring and container orchestration.
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The Senior Manager will lead the development of the Verity Canvas design system, ensuring alignment between Figma libraries and production React code. They will manage component library releases, implement design token pipelines, and establish quality gates for accessibility and visual consistency.
The Advanced Customer Engineer provides second-level technical support by investigating and resolving complex issues across the Reltio platform. They collaborate with engineering and product teams to implement solutions, monitor system performance, and represent the company in customer meetings.
The Customer Engineer provides expert technical support to high-value customers by resolving complex issues and ensuring system health. They also collaborate with engineering and DevOps teams to diagnose problems and provide input on product enhancements.
The VP of AI Strategy will own the full lifecycle of AI strategy engagements, from initial kickoff to final delivery and retainer conversion. They will lead client workshops, develop AI roadmaps, and manage stakeholder relationships to ensure measurable business outcomes.
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