
SaaS • Enterprise • Artificial Intelligence
Mendix is a leading enterprise low-code application development platform recognized by Gartner's Magic Quadrant 2024. It allows enterprises to accelerate application development and delivery using AI-enhanced features. Mendix offers a visual IDE called Studio Pro, which simplifies complex tasks and automates routine processes. The platform supports IT governance, compliance, and digital transformation strategies. Mendix helps organizations optimize legacy investment and create exceptional customer experiences across industries like financial services, manufacturing, and retail. It also provides robust integration capabilities and collaboration with strategic partners like AWS and Red Hat.
1001 - 5000 employees
Founded 2005
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 $25M Series B on 2014-01
November 25

SaaS • Enterprise • Artificial Intelligence
Mendix is a leading enterprise low-code application development platform recognized by Gartner's Magic Quadrant 2024. It allows enterprises to accelerate application development and delivery using AI-enhanced features. Mendix offers a visual IDE called Studio Pro, which simplifies complex tasks and automates routine processes. The platform supports IT governance, compliance, and digital transformation strategies. Mendix helps organizations optimize legacy investment and create exceptional customer experiences across industries like financial services, manufacturing, and retail. It also provides robust integration capabilities and collaboration with strategic partners like AWS and Red Hat.
1001 - 5000 employees
Founded 2005
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 $25M Series B on 2014-01
• Establish an effective working relationship with Sales and Presales to assist in the final stages of deal closure, attending presales technical calls as required. • Perform discovery with customers to understand their existing SAS environment with the key goal of determining migration feasibility. • Analysis of existing SAS language programs, working with product development and data science teams to determine effort/duration requirements. • Analyze existing SAS infrastructure, understand target requirements from customer taking into consideration any modernization needs, and prepare a recommended target architecture. Determine customer use-cases of unsupported language elements and software modules, preparing a ‘route to live’. • Defining the training requirements, resources available and delivery deadlines for a migration project. • Attend customer stand-ups and project review meetings and be the face of Siemens DISW SLC. • Responsible for the technical delivery of migration projects to include: • Supporting the deployment and configuration of SLC software onto customer environments. • Support the configuration of any number of 3rd party applications/drivers/DBs required by SLC. • Training of customer system admins on the effective use of SLC/HUB as required. • Training of customer migration delivery teams on best practices for code migration. • Triage technical issues to ensure prompt resolution, working with L2 support. • Development requirement scoping, bug definition and working with product management and engineering when required to oversee deployment of maintenance builds/bug fixes. • Travel to client locations on an infrequent but as-needed basis
• 3+ years’ experience as a SAS platform Admin • Extensive experience using common SAS modules: • Enterprise Guide • Enterprise Miner • DI Studio • Metadata Server • SAS GRID • Extensive enterprise software knowledge to include: • Windows Server configuration • Linux REHL 8+ configuration • Database configuration/connectivity • Firewall and networking experience • 3+ years SAS language programming • Experience with Cloud Computing technologies like AWS/Azure/GCP/OCI • Excellent presentation preparation and presenting skills. • Excellent written and spoken English ability. • Strong commercial awareness. • Knowledge and experience of data architecture, data processing, database systems and analytics • Knowledge of the SQL language and other business analytics tools and languages • Knowledge of SLC supported platforms LINUX, , AIX, MacOS and Solaris
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