Top Tech Jobs & Startup Jobs

Design, build, test, debug and deploy client-facing .NET/SharePoint applications. Implement UI and backend solutions, write/modify code and stored procedures, perform unit testing, collaborate with technical teams, and ensure solutions meet business and technical requirements.

Develop, manage, and optimize SQL Server and Azure SQL databases. Build schemas, tables, views, stored procedures, and DACPAC deployments. Perform performance tuning, support production incidents, participate in Agile sprints, collaborate with full‑stack developers and QA, and apply DevOps/automated development practices. AZ-900 certification required.

Seeking a senior leader to oversee Application Support and Operations for enterprise applications on Microsoft Azure, focusing on operational excellence, automation, and team management.

Liderar la implementación, operación y evolución de Salesforce Marketing Cloud; diseñar journeys, segmentación y activaciones omnicanal; integrar con Data Cloud, Sales/Service Cloud y sistemas externos; coordinar equipos internos y proveedores; asegurar delivery ágil y casos de hiper-personalización.

Build and maintain end-to-end features across a Vue 3 + TypeScript frontend and PHP/WordPress/Laravel backends. Work on a versioned REST API and migrations, integrate Vite-built Vue micro-apps into WordPress, ensure observability and performance, use Docker Compose and CI/CD to Azure, and participate in code reviews and bug fixes.

Hands-on technical lead for global Azure-based data analytics environments. Own escalation support for complex incidents, performance/scalability troubleshooting on large datasets and pipelines, guide support analysts, and partner with engineering to drive durable fixes across Databricks, SQL Server/DWH, and Azure data services.

Design and build scalable cloud-native data platforms and lakehouse architectures. Develop and optimize batch and real-time ETL/ELT pipelines, ensure data quality and governance, enable CI/CD and automation, manage Databricks/Snowflake/Fabric platforms, and collaborate with BI and business teams.

Design, develop, and deploy scalable AI applications with full-stack integration. Build real-time data ingestion and analytics pipelines using Python, Spark, and cloud platforms (Azure). Operationalize AI solutions, ensure data governance and SDLC compliance, support systems, and collaborate with cross-functional teams to deliver enterprise AI products.

Lead design, development, deployment, and optimization of enterprise AI systems. Architect end-to-end solutions, build data pipelines, CI/CD, and monitoring, deploy with Docker/Kubernetes, ensure performance and security, manage timelines and risks, and mentor cross-functional teams.

As a Bioinformatics Engineer, you will develop and refine bioinformatics pipelines, support R&D efforts, and maintain compliance with regulations.