Highlights
Experience with workflow/orchestration tools (Power Automate, Logic Apps, Airflow, etc.). Hands-on API integrations with enterprise systems (CRM, internal platforms).
Numbers & Facts
| Location | Greenwood village, CO |
| Industry | Computer/IT Services |
| Company Size | 100 to 499 employees |
| Year Founded | 2007 |
| Website | https://www.intersourcesinc.com/ |
Description
Mandatory (Must-Have)
- 8+ years of software engineering experience in production environments
- Strong backend expertise in .NET / C# (ASP.NET Core, REST APIs)
- Proficiency in React (TypeScript preferred) and modern frontend practices
- Solid experience with SQL, databases, and stored procedures
- Experience with workflow/orchestration tools (Power Automate, Logic Apps, Airflow, etc.)
- Hands-on API integrations with enterprise systems (CRM, internal platforms)
- Exposure to AI/ML integrations (LLMs, model APIs, etc.)
- Working knowledge of Python for scripting/integration
- Experience with cloud platforms (AWS preferred)
- Strong understanding of software engineering best practices (CI/CD, testing, security)
- Ability to collaborate with AI, data, and business stakeholders
- Experience with SharePoint development (SPFx, portals, integrations)
- Familiarity with DevOps practices (CI/CD pipelines, infrastructure as code)
- Knowledge of analytics/BI tools and data consumption patterns
- Experience in large enterprise (Fortune 100) environments
- Domain experience in Sales, Retention, or Call Center systems
- Exposure to AI-assisted coding tools (e.g., Copilot, CodeWhisperer)
- Understanding of cost optimization and performance tuning in cloud
About Company
It’s all about harnessing the real power of data. InterSources Inc was founded in 2007 providing intelligent data solutions to clients across industries and geographies.
Over the years, we have built products on Business Intelligence & Big Data platform simplifying and transforming the way business intelligence and real-time data analytics empower Corporations and end-users using Softwares like Tableau, Business Objects, MicroStrategy, etc.
In the process, we have enabled companies to use data analytics to help better understand, predict and influence consumer behavior, identify new market opportunities as they emerge, provide to users the data they need, alert the user when and why key business metrics have changed and enable them to make smart decisions.