Top Tech Jobs & Startup Jobs

Support design, develop, test, deploy, and maintain Oracle E-Business Suite solutions. Build and enhance RICE components, provide Level 2 production support, troubleshoot issues, collaborate with business and functional teams, and assist with module implementations and system maintenance while following IT controls.

Design and oversee Oracle SCM (EBS & Fusion) architectures, translate business requirements, lead design and integration, guide configuration and data migration, ensure compliance and scalability, and drive process improvements and automation.

Design, develop, prototype, test, and deploy machine learning and AI models. Collaborate with data engineers and product stakeholders to build production AI pipelines and refine model performance. Maintain deployments and iterate on algorithms to enhance functionality.

Lead end-to-end delivery of infrastructure managed services and transformation programs across cloud, data center, network, security, workplace and platform operations. Ensure SLA/KPI adherence, ITIL-based service management, incident/problem/change processes, delivery governance, P&L ownership, client executive engagement, practice development, innovation, automation, and support for pre-sales and contract negotiations.

Design, develop, test, deploy, and maintain enterprise web applications and RESTful APIs using C#, .NET Core, ASP.NET MVC, Entity Framework, and SQL Server. Build responsive front ends with JavaScript/jQuery/Bootstrap, implement CI/CD with Azure DevOps, deploy to Azure, enforce security best practices (OAuth/OpenID, RBAC, OWASP), troubleshoot production issues, and collaborate across teams.

Design, build, maintain, and optimize ETL/ELT data pipelines and warehouse schemas; implement data security, storage and processing optimizations; deliver cloud data solutions and production ML deployments; develop and tune complex SQL; lead cross-functional efforts and engage stakeholders. Domain expertise in supply chain and manufacturing data is required.

Senior Data Engineer responsible for end-to-end design, development, optimization and monitoring of ETL/ELT data pipelines, data warehousing and data lake solutions. Duties include SQL optimization, building scalable big-data architectures (Kafka, Spark, Hadoop), implementing data security, performing root-cause analysis on large/unstructured datasets, and supporting cross-functional teams using cloud data platforms (Snowflake, Databricks, Redshift, BigQuery, Synapse).

Design, build, maintain, and optimize ETL/ELT data pipelines and data warehouses. Troubleshoot production issues, write and optimize complex SQL, implement data security, monitor storage/processing, support cross-functional teams, and apply data science and AI/ML familiarity to data engineering solutions.

Design, implement, and manage Azure-based CI/CD pipelines and IaC. Automate builds, deployments, and infrastructure provisioning. Manage Azure infrastructure (App Services, AKS, VMs, Storage), integrate testing and security scans, enforce Git branching strategies, troubleshoot releases/environments, and monitor system reliability and scalability.

Lead design, development, and support of integrations using Oracle Integration Cloud across Oracle Fusion SaaS and external systems. Build REST/SOAP integrations, implement error handling and security, tune performance, support quarterly cloud releases, mentor junior developers, produce design documents, and collaborate with stakeholders on data mapping and interface contracts.