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The Data Platform Engineer will design, build, and operate large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. Responsibilities include ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning workloads.
Design and operate large-scale data pipelines to support AI training, evaluation, and continual improvement workflows. Collaborate with researchers to ensure data quality, lineage, and high-throughput delivery for diverse AI modalities.
The CRM Technical Architect will define and govern enterprise Salesforce implementations across various clouds while leading solution design and technical strategy. They will also establish standards for development, integration, and security while mentoring engineering teams to ensure scalable and maintainable solutions.
The Cloud Data Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will drive strategic infrastructure direction and collaborate with cross-functional teams to deliver a scalable data foundation.
The Kubernetes Service Engineer will design, deploy, and operate service mesh platforms like Istio and Linkerd to ensure secure and reliable service-to-service communication. They will also develop adoption patterns, implement zero-trust security policies, and optimize mesh performance across multi-cluster environments.
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Design, develop, and maintain modular, composable Terraform code to codify infrastructure across cloud environments. Implement automation pipelines and enforce policy-as-code to ensure secure, compliant, and scalable infrastructure delivery.
The engineer will design, build, and operate the platform layer for large-scale AI training and inference workloads. Responsibilities include managing GPU clusters, optimizing distributed training frameworks, and ensuring high reliability and efficiency of AI infrastructure.
The ML Security Engineer will lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. They will also secure training pipelines, perform red-team exercises, and ensure compliance with regulatory obligations.
The Platform Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems. They will apply software engineering principles to infrastructure and operations to push the platform toward higher reliability and lower operational toil.
The Enterprise Data Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption. They will establish data modeling standards and partner with cross-functional teams to deliver a scalable, secure, and coherent data foundation.
The ServiceNow Developer will build and maintain solutions across ITSM, ITOM, HRSD, CSM, and custom scoped applications. This role involves hands-on configuration, scripting, and integration work while ensuring the platform remains upgrade-safe and performant.
The Site Observability Engineer will design and operate enterprise-grade observability platforms, including metrics, logging, tracing, and alerting systems. They will also define SLOs and SLIs while building self-service tooling to help engineering teams maintain system reliability.
The developer will build and maintain solutions across various ServiceNow modules including ITSM, ITOM, HRSD, and CSM. They are responsible for hands-on configuration, scripting, and platform integrations while ensuring the system remains performant and upgrade-safe.
Design and build production-grade Salesforce solutions using Apex, Lightning Web Components, and Flow. Manage custom business logic, integrations, and automation while ensuring platform maintainability.
Design, develop, and maintain complex Workday integrations using EIB, Studio, and various APIs to connect enterprise systems. Collaborate with cross-functional stakeholders to translate business requirements into reliable, secure, and well-documented integration solutions.
The Secure AI Systems Engineer will lead the design and implementation of security controls and threat models for AI and machine learning systems. This role focuses on mitigating risks such as prompt injection, model abuse, and data exfiltration within LLMs and AI infrastructure.
The Secure Software Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems. They are responsible for identifying vulnerabilities and reducing risk across the company's application portfolio.
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The Volunteer Enrollment Specialist conducts virtual interviews and writes quality assessments to facilitate the matching process between volunteers and youth. They also provide coaching to volunteers and maintain accurate records while ensuring the safety of program participants.
Conduct 5-8 pre-scheduled video consultations daily to diagnose client needs and present resolution paths. Manage the full sales cycle from initial consultation to closing while maintaining CRM hygiene and collaborating with the service team.
The Client Support Manager is responsible for managing public and in-house training logistics, including registration, scheduling, and participant communication. They will also maintain accurate data in Salesforce and contribute to process improvements to ensure a seamless training experience.
The Technical Sales Manager will own and grow the Northeast territory by prospecting new accounts and building strategic relationships with maintenance and reliability teams. They are responsible for the full commercial cycle, including conducting technical demonstrations, developing business cases, and managing opportunities from qualification to close.
The Senior Full Stack Engineer will lead and mentor the engineering team while designing and architecting scalable, high-performance software systems. They will collaborate with cross-functional teams to define requirements and ensure the delivery of secure, well-documented code throughout the software development lifecycle.
The representative is responsible for visiting client sites to measure, design, and provide quotes for turf installations. They must effectively close sales deals while maintaining high standards of customer service and integrity.
You will lead and grow an engineering organization of approximately 16 engineers, focusing on AI-native development and cross-pod execution. You will partner with product and design to translate roadmap priorities into scalable, high-quality systems while mentoring technical talent.
Design, build, and maintain AI-powered workflows to support creative teams and improve operational efficiency. Translate complex creative needs into repeatable, scalable systems while evaluating new AI tools and vendors.
The Associate Editor will acquire, edit, and manage a list of adult romance authors while collaborating with internal departments to ensure effective market positioning. They are responsible for evaluating submissions, developing manuscripts, and maintaining editorial schedules to keep projects on track.
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The Managing Editor will oversee scheduling and coordination for custom and proprietary publishing projects, acting as a central liaison between editorial, marketing, sales, design, and manufacturing teams. They are responsible for building realistic project plans, monitoring milestones, and identifying process improvements to ensure efficient project delivery.
The Senior Accountant will manage end-to-end accounts payable, vendor payments, and bank reconciliations while supporting the monthly close process. They will also contribute to P&L analysis, financial reporting, and the implementation of process improvements using automation and AI tools.
Contributors will review personalized questions and checklists to evaluate AI systems' understanding of human experiences. These responses will be used to improve AI-powered recommendation systems.
The Senior Mortgage Funding Specialist manages loan file closing activities, including preparing and validating closing disclosures and packages to ensure funding readiness. They also resolve complex closing issues and partner with internal teams and settlement agents to ensure accurate and timely loan closings.
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