GCP Security Engineer
The security engineer will implement and manage security frameworks within Google Cloud Platform environments. They will also be responsible for traveling to customer sites across Europe to support project requirements.
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The security engineer will implement and manage security frameworks within Google Cloud Platform environments. They will also be responsible for traveling to customer sites across Europe to support project requirements.
The Appointment Setter is responsible for proactive outbound prospecting, conducting high volumes of cold calls, and securing qualified appointments with senior decision-makers. They must maintain accurate CRM records and consistently achieve activity and pipeline targets.
The Lead Consultant will design, develop, and customize Oracle Fusion Service applications using VBCS and Redwood technologies. They will also collaborate with stakeholders to translate business requirements into scalable technical solutions while mentoring junior team members.
Design and implement graph models, ontologies, and production-grade graph pipelines using AWS Neptune or Neo4j. Integrate graph data with LLMs for GraphRAG and semantic search while mentoring engineering teams.
Design, develop, and maintain scalable backend applications using Ruby on Rails while collaborating with cross-functional teams. You will be responsible for implementing new features, ensuring code quality through peer reviews, and troubleshooting application performance.
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The Data Analyst will manage data requests, develop interactive dashboards, and maintain ETL pipelines to ensure data accuracy and freshness. They will also leverage AI tools to automate reporting and provide actionable insights to cross-functional teams.
Design, build, and optimize scalable real-time and batch data pipelines using Python, Spark, and Databricks. Collaborate with stakeholders to translate business requirements into technical architectures and manage cloud infrastructure migrations.
Provide advanced operational support and technical ownership for SuccessFactors, including configuration, integrations, troubleshooting, release readiness, and platform health. Lead technical delivery of implementations and enhancements, partnering with HR and IT teams to translate requirements into secure, scalable solutions.
Develop, optimize, and troubleshoot complex data pipelines using Python and Databricks. Manage data integration and transformation processes within an AWS cloud environment.
Help define and execute product strategies and roadmaps by researching markets, identifying customer needs, and prioritizing requirements. Work with engineering, design, and marketing teams to guide product development and launches, document product requirements, and use performance and user feedback to inform improvements throughout the product lifecycle.
The role is associated with developing, enhancing, and maintaining software products for title insurance, settlement, and mortgage solutions. It contributes to technology solutions for the title insurance industry, including work involving natural language processing, artificial intelligence, and machine learning.
You will build trusted relationships with named accounts to drive customer satisfaction, retention, and growth through consultative solutioning. Additionally, you will act as the voice of the customer to the product team to help shape the product roadmap.
Design, build, and run end-to-end AI solutions on Google Cloud for partners and clients. Manage the transition of AI systems from prototypes to reliable production environments.
The Senior Internal IT and Project Engineer manages internal IT services, Microsoft 365 environments, and employee equipment lifecycles. They also provide advanced third-line technical support and lead assigned IT projects from scoping through to closure.
The role involves providing third-line technical support for complex incidents and managing IT projects from scope definition to final delivery. You will be responsible for maintaining service reliability, mentoring junior engineers, and ensuring all project documentation and client communications are accurate and professional.
You will own the end-to-end visual expression of the Zalaris brand, including the development and governance of a scalable design system. Additionally, you will lead the implementation of AI-assisted design workflows to scale creative production across digital, video, and campaign assets.
Provide technical support to customers in the assigned region and analyze production processes to propose efficient machining solutions. Collaborate with sales representatives to implement technical projects and optimize manufacturing processes to increase customer productivity.
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The Business Analyst will evaluate client needs, document business processes, and serve as a liaison between customers and technical teams. They will also lead project management activities and generate data-driven insights to support marketing and UX strategies.
The Database Administrator is responsible for the design, implementation, maintenance, and optimization of Microsoft SQL Server and PostgreSQL databases. This role involves ensuring system availability, security, and performance while collaborating with development teams to deliver efficient data solutions.
The Project Manager will lead and motivate teams to ensure the successful delivery of SAP SuccessFactors implementations and data integration projects. They are responsible for planning, organizing, and managing resources while maintaining effective communication across globally dispersed teams.
The Lead Data Analyst will translate business requirements into scalable technical solutions by building custom reports, dashboards, and data models. They will also act as a bridge between clients, Customer Success, and internal engineering teams to ensure successful project execution.
As a trainee, you will undergo an intensive two-month training program to learn professional SAP consulting and development. You will participate in technical analysis and the implementation of software solutions for clients.
The Senior Security Engineer is responsible for implementing and managing the organization's Cloud-Native Application Protection Platform (CNAPP) across various cloud environments. They will collaborate with DevOps and security teams to identify risks, improve security posture, and drive the remediation of vulnerabilities and misconfigurations.
The Information Security Engineer will monitor networks for security threats, investigate breaches, and implement protective measures like firewalls and encryption. They are also responsible for performing vulnerability assessments, managing security operations, and ensuring disaster recovery procedures are effective.
The Application Packaging Engineer will provide L2/L3 support for enterprise application packaging and deployment services using tools like SCCM and Intune. They are responsible for creating, testing, and troubleshooting installation packages while ensuring compliance with security and operational standards.
The role involves managing and recovering payments from fellows who have completed training and have active payment obligations. You will negotiate payment plans, maintain CRM records, and coordinate with legal and finance teams to resolve complex cases.
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Responsible for the localization, quality management, and proofreading of game content including UI, storylines, and system rules. Manage team workflows, provide mentorship, and act as the primary point of contact for Traditional Chinese localization projects.
The engineer will build and optimize large-scale data pipelines to support AI model training and next-generation product development. They will collaborate with AI scientists to discover new data sources and ensure high-quality, efficient data processing.
You will build and optimize large-scale data pipelines to support AI model training and next-generation product development. This role involves collaborating with AI scientists to improve data quality and taking ownership of engineering projects from discovery to implementation.
You will discover new audio data sources and build reliable pipelines to integrate them into training datasets. Additionally, you will build and improve large-scale data-processing systems while collaborating with AI scientists to optimize model training.
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