Backend Engineer
Design and maintain scalable backend services and high-throughput data pipelines for the Indigo platform. Optimize distributed services for low latency and ensure strict security and compliance standards are met.
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Design and maintain scalable backend services and high-throughput data pipelines for the Indigo platform. Optimize distributed services for low latency and ensure strict security and compliance standards are met.
The role involves managing customer relationships, processing orders, and maintaining data within Microsoft Dynamics 365. Additionally, the assistant supports lead acquisition, creates sales documentation, and optimizes CRM workflows and processes.
Design and build reliable backend services, data models, and pipelines to create an intelligence layer for insurance decision-making. You will be responsible for business-critical infrastructure to improve data completeness and decision transparency.
Serve as a senior technical advisor guiding clients on Adobe Experience Platform adoption and enterprise data strategies. Lead the design of XDM schemas, identity resolution strategies, and scalable data workflows to optimize customer data ecosystems.
Develop and maintain backend services and REST APIs for AI-powered document processing applications. Integrate AI services with internal systems and manage deployment using containerization and CI/CD pipelines.
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The role involves gathering and documenting business requirements to develop and improve an AI-powered FAQ chatbot for the banking sector. The analyst will collaborate with stakeholders and technical teams to optimize user experience and ensure regulatory compliance.
Act as a senior thought partner for the Guest App team, driving product decisions through detailed data analysis, experimentation, and statistical modeling. Design and build metrics and reporting tools to optimize promotional merchandising and overall guest experiences.
Perform technical design, build, and unit testing for Oracle Cloud HCM client engagements. Lead project deliverables and guide team members while translating business requirements into technical solutions.
Own the product direction for platform capabilities supporting the end-to-end machine learning lifecycle from data readiness to observability. Define the ML platform strategy and drive the adoption of standardized workflows and tools across data science teams.
Assess and evaluate the client's Active Directory and Azure/Entra ID infrastructure to identify configuration gaps and operational risks. Provide strategic recommendations, remediation plans, and budget estimates to optimize identity management and domain consolidation.
Implement and set up the Murex MRB module, including managing scenario containers and automated executions. Provide ongoing support for issues and incidents related to the Full Revaluation module.
Develop and maintain backend systems using Java and relational databases. Build and integrate REST and SOAP web services while following Agile methodologies.
Own the vision, strategy, and roadmap for the Environmental Realism platform to support AI-native security products and autonomous cyber agents. Collaborate with industry leaders and internal engineering teams to build realistic cyber environments that validate AI-powered cybersecurity capabilities.
Lead the end-to-end implementation of user-facing features for a visual AI canvas, translating design concepts into performant experiences. Collaborate with the UX design council and backend teams to refine complex interactions and establish frontend best practices.
Define and execute a comprehensive QA strategy focused on reliability, scalability, and performance for an AI automation platform. Build automation frameworks and monitor production health to ensure the system is resilient and production-ready.
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Provide high-quality technical service and support for medical instrumentation at customer facilities and via remote tools. Manage preventative maintenance, system upgrades, and troubleshooting for electromechanical and fluidic devices while maintaining detailed CRM documentation.
Develop digital central solutions and early-stage physical design flows for 3D-IC applications. Collaborate with customers and foundry partners to translate advanced node requirements into software solutions.
Responsible for the installation, maintenance, and software upgrades of diagnostic instruments to ensure customer satisfaction. The role involves responding to service requests and handling emergency calls during off-duty hours.
Lead the strategy for AI-powered content creation and product-led growth to reduce time-to-value for users. Collaborate with engineering and design to improve AI output quality and optimize self-serve activation flows.
Design and implement a global governance model and end-to-end onboarding journeys for cloud partner enablement. Orchestrate cross-functional teams to scale cloud GTM motions and measure program performance through data insights.
Develop and maintain an advertising analytics platform focusing on performance, scalability, and the reduction of technical debt. The role involves coding in C# and SQL to process large amounts of data and delivering meaningful business insights.
The role involves developing and optimizing an advertising analytics platform with a focus on backend performance and scalability. Responsibilities include refactoring reports, managing technical debt, and delivering new features using a C# and SQL stack.
Develop and maintain an advertising analytics platform focusing on performance, scalability, and the reduction of technical debt. The role involves coding in C# and SQL to process large amounts of data and deliver meaningful insights.
Design and implement customized Salesforce solutions and AI-powered automations using Einstein and Agentforce to improve operational efficiency. Lead complex integrations between Salesforce and enterprise systems while mentoring junior developers on AI best practices.
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Design and deploy production-ready AI systems, including LLM-powered applications, agentic workflows, and intelligent automation. Collaborate with cross-functional teams to transform business requirements into scalable software solutions that create measurable value.
Design and deliver analytical models and decision-support systems to improve business prediction and decision-making. Partner with Engineering teams to translate prototypes into scalable production solutions.
Focus on the performance, optimization, and modernization of SQL environments across infrastructure and application layers. This includes executing SQL workload migrations to Azure and ensuring operational reliability and cost efficiency.
The role involves designing and coding high-quality deliverables and creating informative reports and dashboards to derive insights from large data sets. The candidate will collaborate with data engineers and architects to define back-end requirements and support solutions in MS Azure Cloud and PowerApps.
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