Cybersecurity Software Engineer
Integrate cybersecurity requirements into the design and development of software for diagnostic platforms. Ensure compliance with FDA guidance and maintain secure design documentation throughout the product lifecycle.
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Integrate cybersecurity requirements into the design and development of software for diagnostic platforms. Ensure compliance with FDA guidance and maintain secure design documentation throughout the product lifecycle.
Responsible for the design, integration, configuration, and delivery of technical solutions to healthcare providers, payers, and states. This includes establishing project plans, conducting testing, and troubleshooting solutions throughout the project lifecycle.
Design and develop custom Salesforce solutions using LWC, Apex, and API integrations to solve complex business problems. Collaborate with clients to analyze technical requirements and implement AI-enabled solutions to improve operational efficiency.
The Salesforce Consultant will configure multi-cloud solutions and perform ongoing administration tasks such as user and data management. They will collaborate with stakeholders to build use cases and implement AI-enabled solutions to enhance client processes.
The role acts as a bridge between sales and engineering, translating client needs into precise Statements of Work (SOW) and internal handover documents. You will manage 5-10 parallel engagements, ensuring technical feasibility and defining the scope of AI solutions before they are signed.
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Design, build, and support production Kubernetes environments while improving platform reliability through automation. Develop Infrastructure as Code using Terraform and manage observability tools like Prometheus and Grafana.
Develop platform APIs, shared services, and reusable CI/CD components to improve developer productivity. Focus on infrastructure as code, service onboarding, and overall platform reliability.
Build and manage secure AWS landing zones and cloud foundations for highly regulated environments. This includes designing account provisioning automation, implementing Service Control Policies, and developing reusable Terraform modules.
Build and deploy production-grade AI workflows and MLOps solutions within highly regulated life sciences customer environments. Act as a technical advisor to stakeholders while translating field intelligence into product feedback for the Domino roadmap.
Manage Linux infrastructure and build automation for system administration across hybrid cloud and private data centers. Responsibilities include maintaining Kubernetes platforms, developing Ansible automation, and improving overall infrastructure reliability.
Optimize and evaluate AI products for medical professionals using extensive datasets and create product and client-facing analytics. Collaborate with product leaders to define data strategy and lead projects from ingestion to final recommendations.
Design, build, and operate full-stack applications and GenAI-powered services to support Sales, Marketing, and Finance teams. Lead the end-to-end software development lifecycle and mentor other engineers on AI-augmented workflows.
Serve as a technical leader and subject matter expert for Salesforce declarative capabilities, guiding projects from discovery to deployment. Collaborate with business analysts and developers to design scalable solutions and mentor junior configurators.
Responsible for designing, planning, and delivering complex IT infrastructure projects and leading technical onboarding for new clients. Ensures all solutions are secure, scalable, and fully documented for seamless transition to support teams.
The role provides administrative and financial support for the management of grants, contracts, and sponsored programs. Key duties include proposal preparation, award set-up, and post-award financial monitoring and reporting.
Own the reliability and correctness of core data products by managing end-to-end releases and building quality monitoring systems. Partner with commercial teams to design data solutions and perform root cause analysis on data anomalies.
The Senior SAP Application Administrator manages complex SAP tasks and serves as the technical point of contact for large-scale projects. Responsibilities include managing basic-level administrators, driving process finalization, and resolving technical issues.
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The role involves collecting and processing commission statements from insurance providers and cross-referencing transactions with bank statements. Additionally, the administrator manages payment deadlines and handles agent inquiries with professionalism.
Develop and optimize the backend systems, including GraphQL APIs and gRPC endpoints, that power the Sportsbook marketplace. Design new features end-to-end and mentor other engineers through code reviews and technical specifications.
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Design, implement, and manage SailPoint ISC and IIQ solutions to safeguard sensitive information and ensure regulatory compliance for clients. Collaborate with cross-functional teams to develop security strategies and provide engineering support for complex IAM incidents.
The analyst optimizes AI-powered interactions and transforms engagement data into actionable insights to improve customer and agent experiences. They are responsible for tuning AI models, monitoring performance, and ensuring compliance with brand and safety guidelines.
The Azure Consultant is responsible for scoping, designing, and delivering cloud implementation projects and migrating workloads to enterprise platforms. They act as a technical lead, creating documentation and guiding customers through critical feature decisions.
Partner with Strategic Account Executives to drive technical strategy and lead complex enterprise sales opportunities exceeding $1M. Lead customer discovery, technical demonstrations, and proof of value engagements to align AI-powered engineering solutions with customer requirements.
The Sales Engineer supports Public Sector customers by delivering technical demonstrations, value assessments, and proof of concept implementations for IoT solutions. They act as a technical liaison between customers and the product team while developing API scripts to solve real-world operational problems.
Lead the development of AI-enabled care products to improve patient engagement and physician efficiency. Architect scalable backend systems, including health data ingestion pipelines and enterprise integrations.
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Design and evolve external APIs and embedded product layers to support enterprise healthcare clients. Build core data models and retrieval infrastructure to unify structured and unstructured health data for AI-driven workflows.
Own end-to-end architecture solutions for complex, large-scale distributed systems with a focus on AI integration. Partner with business leaders to translate ambiguous needs into scalable, secure, and high-performance technical designs.
Design and train high-performance computer vision models for automated vehicle damage detection. Architect and maintain high-throughput, containerized microservices and data pipelines for real-time model serving.
Design and train high-performance computer vision models for automated vehicle damage detection. Architect and maintain high-throughput, containerized microservices and Kafka data pipelines for real-time model serving.
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