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Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 5, 2026. Ascendion scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Ascendion is an American technology services company created in 2022 when Collabera's digital engineering business was separated under private equity ownership and rebranded. It builds software, data platforms and applied artificial intelligence for enterprise clients across financial services, healthcare, retail, technology and communications, and it markets itself around engineering delivery accelerated by its own artificial intelligence tooling rather than around headcount. Headquartered in Basking Ridge, New Jersey with its largest delivery base in India, it employs several thousand engineers across North America, Europe and Asia.

Job Title: Full Stack .NET Developer (React + AI)

Experience: 4-7 Years

Job Description: We are looking for a skilled Full Stack .NET Developer with strong expertise in React.js, .NET Core, and Microservices Architecture. The ideal candidate should have experience building scalable enterprise applications, developing REST APIs, and working in cloud-native environments. Exposure to AI/GenAI technologies and AI-assisted development tools is highly desirable.

Key Skills:

  • React.js, JavaScript/TypeScript
  • .NET Core, ASP.NET Core, C#
  • Microservices Architecture & REST APIs
  • SQL Server
  • Azure/AWS Cloud
  • CI/CD, Git, Agile Methodologies
  • GenAI/AI tools (Copilot, ChatGPT, Azure OpenAI, AI Agents) preferred

Responsibilities:

  • Design and develop scalable full-stack applications using React and .NET Core.
  • Build and maintain microservices and RESTful APIs.
  • Collaborate with cross-functional teams to deliver high-quality solutions.
  • Participate in code reviews, testing, and performance optimization.
  • Leverage AI tools and technologies to accelerate development and improve productivity.

Preferred:

  • Experience with Azure services and cloud-native architectures.
  • Exposure to GenAI, LLMs, RAG, or AI-powered applications.
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