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The Senior Infrastructure Engineer will manage the operational stability of legacy production environments while architecting and scaling modern cloud-native infrastructure. Responsibilities include incident response, performance monitoring, database maintenance, and implementing automation to replace manual operational tasks.
The consultant will coordinate emergency preparedness and mutual aid plans for long-term care facilities across multiple California counties. Responsibilities include facilitating training, conducting disaster exercises, and building relationships with healthcare and emergency response stakeholders.
Manage and optimize the financial costs of Cloud and AI platforms by monitoring consumption, analyzing token- and GPU-related expenses, and identifying savings opportunities. Produce cost reports, investigate budget variances, recommend efficiency measures, and collaborate with Cloud, infrastructure, AI, finance, and technology teams.
Provide N2/N3 support and operational oversight for Cloud and AI platforms, including monitoring availability, managing incidents, conducting root cause analysis, and restoring services. Coordinate with technical teams, address recurring problems, document procedures, and improve service operations in line with ITIL practices.
The consultant will design and evolve observability and monitoring solutions to provide visibility into application and infrastructure behavior. They will analyze system performance, define alerting mechanisms, and collaborate with technical teams to resolve availability and performance issues.
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Lead on-site physical environment assessments and surveys for healthcare facilities to ensure compliance with regulatory standards. Develop emergency management programs, conduct hazard vulnerability analyses, and provide training on fire safety and response strategies.
The Talent Acquisition Lead will manage the full recruitment lifecycle for critical roles while mentoring the team and driving employer branding initiatives. They will also partner with senior leadership to forecast hiring needs and utilize data analytics to optimize recruitment strategies and processes.
The consultant will design, evolve, and support cloud infrastructures specifically tailored for high-performance AI workloads. Responsibilities include managing GPU environments, HPC clusters with Slurm, and Kubernetes platforms while ensuring scalability and security.
Leads and manages a regional team responsible for multi-state delegation oversight activities to ensure compliance with state, federal, and NCQA requirements. Collaborates with internal business owners to manage delegated entity performance, including audits, corrective action plans, and risk monitoring.
The Senior Security Solutions Engineer will implement and customize the Hypernative platform for customers while providing hands-on security strategy and incident response support. They will also collaborate with partners and deliver technical training to client teams to ensure effective security operations.
The role involves managing customer inquiries via email and social media while overseeing community engagement across various platforms. Additionally, the student will assist in creating social media content, planning posts, and tracking marketing metrics.
You will act as a bridge between customers, engineering teams, and AI inference service products to ensure successful deployments. This involves writing production code, operating deployments, and providing technical solutions to complex customer challenges.
The Forward Deployed Engineer will embed within customer environments to transform complex data challenges into production-grade data pipelines and AI solutions. They will lead architectural modernization efforts and implement agentic AI workflows while ensuring knowledge transfer to client teams.
The Strategic Account Manager will drive large deals within the Inside Sales organization by implementing strategies to increase deal sizes and accelerate sales cycles. They are responsible for building C-suite relationships, managing the customer lifecycle, and collaborating with channel partners to maximize revenue.
You will be responsible for cleaning up and maintaining the company's IT infrastructure, specifically focusing on Microsoft 365 and Entra ID administration. Additionally, you will automate recurring tasks using scripts and AI tools while managing domain configurations and security protocols.
The Solution Architect will frame business problems, design technical solutions, and serve as the primary link between business stakeholders and engineering teams. They are responsible for owning the end-to-end design and working alongside engineers to build critical components of the solution.
Act as the technical lead on complex client engagements, managing the end-to-end process from discovery to production. Contribute to the company's platform by identifying high-leverage infrastructure investments and mentoring other engineers.
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Own the internal support and moderation platform end-to-end, setting its vision, roadmap, priorities, and success metrics across helpdesk, chat, moderation, QA, and reporting tools. Work with operational teams and company product teams to improve workflows, launch features, measure outcomes, and use AI and automation to increase efficiency and user experience while leading developers and project managers.
You will embed with enterprise customers to optimize their use of CoLab's AI tools and solve complex engineering data integration challenges. Additionally, you will partner with cross-functional teams to refine product capabilities and build repeatable technical frameworks.
You will design, build, and deploy LLM-powered agentic workflows that integrate with enterprise tools and data to solve complex business problems. This role involves working directly with customers to translate ambiguous requirements into reliable, production-grade AI solutions.
Own client engagements end-to-end, from technical discovery and scoping through to production deployment. Build and maintain production AI systems, including agents, LLM workflows, and the underlying infrastructure.
You will build and ship LLM-powered features and agentic workflows within the DerivativeEDGE platform to solve complex financial challenges. Additionally, you will own the data engineering layer, including pipelines and retrieval architectures, to ensure high-quality data for AI systems.
You will design and build AI-powered systems for account segmentation, scoring, and buying-signal detection while developing agentic workflows for sales and marketing teams. You will own the full lifecycle of these solutions, ensuring they are reliable, cost-effective, and integrated into daily business operations.
You will own the end-to-end technical onboarding of new customers, including legacy data migration, system configuration, and integration development. Additionally, you will build the Forward Deployed Engineer playbook and act as a primary feedback channel to drive product and tooling improvements.
Own AI-powered product features end-to-end, from discovery and requirements definition to shipping and performance monitoring. Collaborate with clients and internal teams to identify pain points and build automated solutions using LLMs and other technical tools.
The Nursing Home Transition Service Coordinator supports participants by determining their individualized needs and coordinating services to facilitate a successful transition from nursing facilities back into the community. Responsibilities include assisting with housing and utility options, coordinating with families and facility staff, and managing waiver or income funding.
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You will embed with ISV engineering teams to design and build MongoDB-backed product capabilities and migration solutions. This involves writing production code, performing code reviews, and establishing reusable patterns for future partner engagements.
Build and maintain agentic systems that collect, process, and surface signals from social, on-chain, and ad data sources. Develop full-stack applications and data pipelines to provide actionable intelligence for marketing and client teams.
The role involves designing and developing scalable data pipelines and services to support the CPSC's Azure-based data infrastructure. Responsibilities include building ETL workflows, implementing data validation, and creating API endpoints for analytics and machine learning interoperability.
Drive Application Security programs across teams by translating priorities into plans, milestones, ownership, and measurable outcomes. Coordinate dependencies, resolve risks and blockers, improve program processes and reporting, and communicate status and outcomes to stakeholders and leadership.
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