Senior Cloud Infrastructure Engineer
Design, build, and maintain scalable cloud infrastructure services across AWS and Azure. Own automation, deployment pipelines, and production reliability using Infrastructure as Code practices.
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Design, build, and maintain scalable cloud infrastructure services across AWS and Azure. Own automation, deployment pipelines, and production reliability using Infrastructure as Code practices.
Lead the design and delivery of agentic-first capabilities within Nexus Repository Manager by orchestrating fleets of AI agents. Define engineering practices for agentic workflows and mentor senior engineers to secure software supply chains at scale.
Execute functional and regression manual tests to identify and report defects while ensuring solutions meet acceptance criteria. Design test cases and manage the defect lifecycle using tools like Jira and Azure DevOps within agile frameworks.
Install and support cloud-based and on-premise video applications and hardware, including in-car police video and body-worn cameras. Train end users on system functionality and develop cost-effective technical solutions to meet business requirements.
The role focuses on prototyping, testing, and validating AI solutions and prompt strategies to improve operational efficiency. It involves collaborating with cross-functional teams to build proofs of concept and providing training on AI capabilities and limitations.
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Lead complex AI and data programs as the primary point of contact for client sponsors, ensuring technical delivery translates into measurable business impact. Manage engagement financials, project roadmaps, and multi-geo teams while identifying opportunities to expand services within existing accounts.
Design and develop Generative AI solutions using agentic architectures and LangGraph orchestration. Implement RAG pipelines and integrate AI agents with corporate systems via MCP and microservices.
Design, build, and operate scalable data pipelines on the Azure platform to enable analytics and self-service BI. Responsibilities include implementing ELT pipelines, ensuring data quality, and collaborating with stakeholders to deliver curated Delta tables.
Design, develop, and configure custom applications and workflows on the ServiceNow platform using AI-driven development practices. Integrate external AI/ML APIs and implement generative AI features like Now Assist and Virtual Agent to automate enterprise service management.
Ensure project delivery by integrating stakeholders and development teams while defining metrics and removing impediments. Lead the professional development of team members to build high-performance teams aligned with client business goals.
Design, administer, and optimize enterprise PostgreSQL and Microsoft SQL Server database solutions for mission-critical healthcare applications. Collaborate with cross-functional Agile teams to implement secure, scalable database environments and disaster recovery strategies.
Serve as the primary administrator for the SailPoint IdentityIQ platform, managing the end-to-end identity lifecycle and access governance. Lead IAM initiatives, maintain RBAC models, and ensure compliance with healthcare security regulations.
Lead an international team of data scientists to develop, deploy, and benchmark AI/ML and generative AI models. Collaborate with leadership to optimize business processes and integrate AI solutions into digital products.
Design and deploy AI-powered features and LLM tools to personalize medical education within the VSTAR platform. Build and maintain ML pipelines in Databricks while collaborating with educational leadership to implement AI strategies.
Serve as a strategic Trusted Advisor for enterprise customers to design and optimize multi-cloud network architectures using the Aviatrix platform. Lead the implementation of cloud network security policies and manage technical escalations to ensure operational excellence.
Lead the Cyber Defense team in detection and response work, managing the SOC queue and owning escalated investigations. Proactively hunt for threats across the enterprise and collaborate with security engineering to improve detections and automation.
The role focuses on analyzing and repricing pharmacy claims to ensure accurate cost management using SQL server databases. It involves developing analytical models, conducting financial pricing modeling, and collaborating with finance and sales teams.
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Triage and resolve customer-reported backend bugs while delivering small customer-driven feature improvements. Build automation and self-service tooling to reduce manual engineering intervention in the customer support process.
Lead the design and implementation of scalable AI-powered customer experience solutions and strategic transformation roadmaps for large organizations. Act as a strategic advisor to C-suite executives to move AI from experimentation to enterprise-wide production.
Lead the strategy and execution of FinOps products and digital capabilities across multi-cloud and enterprise platforms. Partner with engineering, finance, and architecture to manage complex roadmaps and optimize cloud financial management.
Design, build, and operate agentic AI systems including prompt engineering, tool integration, and evaluation harnesses. Own the full model lifecycle from shipping new AI products to monitoring quality and cost in production.
Design and implement backend serverless solutions on Microsoft Azure using Functions and Logic Apps. Develop event-driven architectures and manage APIs through Azure API Management to ensure scalable and resilient integrations.
Develop, optimize, and maintain SQL-based data solutions and pipelines within a healthcare environment. Collaborate with stakeholders to translate data requirements into technical specifications and ensure data integrity before production.
Lead the design and implementation of enterprise-ready AI and agentic architectures to deliver measurable business value for Fortune 500 companies. Drive the evolution of the AI platform and serve as the senior technical authority for strategic client engagements.
Develop and maintain the Microsoft technology ecosystem, focusing on Business Central customizations and Power Platform solutions. Collaborate with global teams to translate business requirements into integrated technical solutions and provide ongoing system support.
Design and implement end-to-end ETL/ELT pipelines to build a central data platform acting as a hub between source systems and BI applications. Responsibilities include dimensional modeling, migrating from Azure Data Factory to Apache Airflow, and developing dbt models.
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The role involves designing and maintaining automated test suites using Selenium and integrating them into CI/CD pipelines. You will also define software quality processes, manage defect tracking, and collaborate with cross-functional teams to ensure product reliability.
Provide application and operations support for cloud-based infrastructure on Azure and AWS, including environment setup and deployment. Collaborate with development teams and end users to troubleshoot issues and apply ITIL principles for service management.
Drive fast time-to-value for a high-volume portfolio of self-serve deployments using asynchronous communication and structured enablement. Troubleshoot technical blockers and guide customers through the activation of various email security products across Microsoft 365 and Google Workspace.
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