Product Owner - Oracle Connectivity
Design and implement Oracle Financials solutions across AR, AP, GL, and Cash Management modules. Manage end-to-end financial processes, system configurations, and quality assurance through UAT and documentation.
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Design and implement Oracle Financials solutions across AR, AP, GL, and Cash Management modules. Manage end-to-end financial processes, system configurations, and quality assurance through UAT and documentation.
Design and evolve the platforms, standards, and automation that enable engineering teams to deliver scalable and secure solutions. Architect golden paths, self-service provisioning frameworks, and enterprise policy-as-code using Azure and Ansible.
Design and implement ICT components and automation pipelines for the AI Factory Cloud platform running NVIDIA Omniverse. Provide technical leadership, mentorship, and consultation to optimize the entire lifecycle of CI/CD and infrastructure as code.
The Sr. AWS Developer implements complex, scalable solution designs for contact centers using AWS and Amazon Connect. They lead development teams, perform code reviews, and collaborate with Solution Architects to deliver technical requirements and user stories.
Perform geotechnical and geostructural construction engineering analyses for various infrastructure projects. Responsible for design optimization, site characterization, and conducting geotechnical special inspections in the NYC metro area.
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Design, develop, and operate enterprise data pipelines using Informatica IDMC and Databricks Lakehouse. Migrate PowerCenter workloads to IDMC and maintain integration infrastructure across Azure and AWS environments.
Implement ABAP requirements and technical extensions within SAP EWM systems for clients. Define and implement integration scenarios between SAP EWM and external systems, such as warehouse automation.
Design and optimize robust data pipelines and scalable warehousing architectures using Snowflake and dbt. Collaborate with stakeholders to transform raw data into actionable models for manufacturing and supply chain workflows.
Implement and optimize market-specific data pipelines for the Symphony platform using Scala and SQL on Apache Spark. Collaborate with core teams to ensure local implementations align with global architecture standards and metadata-driven frameworks.
Design, develop, and support APIs, microservices, and event-driven integrations across a cloud-native ecosystem. Collaborate with cross-functional teams to modernize legacy integrations and support production deployments using Agile methodologies.
Lead the vision and roadmap for self-service cloud growth, focusing on user onboarding and trial activation. Collaborate with engineering and solution teams to drive technical decisions and improve customer retention.
Lead the vision and roadmap for self-service cloud growth, focusing on user onboarding and trial activation. Collaborate with engineering and solution teams to drive technical decisions and improve customer retention.
Lead the vision and roadmap for self-service cloud growth, focusing on user onboarding and trial activation. Collaborate with engineering and solution teams to drive product adoption, retention, and native integrations.
Lead the vision and roadmap for self-service cloud growth, focusing on user onboarding and trial activation. Collaborate with engineering and solution teams to drive technical decisions and improve customer retention.
Lead the vision and roadmap for self-service cloud growth, focusing on user onboarding and trial activation. Collaborate with engineering and solution teams to drive product adoption, retention, and native integrations.
Lead the vision and roadmap for self-service cloud growth, focusing on user onboarding and trial activation. Collaborate with engineering and solution teams to drive product adoption and retention for self-service customers.
Own and manage all databases underpinning the BSS/OSS/NOC platform, including PostgreSQL clusters and network control layer interfaces. Design and implement bulk data pipelines, disaster recovery frameworks, and data governance policies for compliance and retention.
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Implement core platform services using .NET 10 and Docker while developing features from the database to the APIs. Ensure platform scalability, maintainability, and quality through proactive production monitoring and comprehensive testing.
The role involves designing and delivering AI-driven solutions for background screening within a Scrum team. Responsibilities include productionizing ML models, building data pipelines, and ensuring the reliability and security of production AI/ML workloads.
Lead the development and specification of technical areas such as deployment, monitoring, databases, and load balancing. Coordinate a project team of 3-4 people while ensuring the reliability and scalability of built solutions.
Own the end-to-end data science engine for priority verticals to drive measurable revenue and media efficiency. Focus on building and deploying models for Insurance and Advertiser Quality to improve ROAS and lead quality.
Own the end-to-end data science engine for priority verticals to drive measurable revenue and media efficiency. This involves framing business problems with stakeholders and building models to improve ROAS and lead quality.
Design and implement data processes using ADF Pipelines and Databricks while optimizing ETL performance. Develop and version data models and execute schema and data migrations within Azure cloud infrastructures.
The engineer will develop, maintain, and improve large-scale Java applications within an agile environment. They are responsible for applying programming best practices to ensure high code quality across both backend and frontend.
Manage hybrid networks across GCP, Azure, and telecom partners while automating infrastructure via Terraform. Design load balancing for zero downtime and secure AI integrations using Private Service Connect.
Design and operate highly scalable platform services to improve the reliability and performance of the Chainlink Runtime Environment. Lead the development of production-grade backend services and APIs while driving architectural improvements for platform scaling.
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Build and operate key backend services including the L1 node fleet, RPC, and indexing layers. Focus on reliability, automation, and the implementation of SLOs/SLIs to ensure a stable production environment.
Develop and scale a teleoperation platform for medical technology with a high standard of quality. Collaborate with founders to shape the technological roadmap, integrate third-party tools, and introduce new features.
Lead the migration of databases and applications from monolithic architectures to microservices within AWS. Manage infrastructure as code, CI/CD pipelines, and implement monitoring and observability solutions using CloudWatch.
Drive the technical direction and architecture for the AI Studio application builder, focusing on generative AI pipelines and deployment systems. Act as a hands-on technical leader designing scalable distributed systems and mentoring engineers through code reviews and design discussions.
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