Senior .NET Full-Stack Engineer (AI-First, Hybrid, AWS)

Kardow

Boston (MA)

Hybrid

USD 140,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Healthcare
Retirement matching
AI development tools budget
Hybrid work model
Structured onboarding

Job summary

Kardow is seeking a Senior Full Stack Software Engineer to design, build, and optimize scalable analytic solutions. The core stack includes .NET, Angular, and AWS, with a strong emphasis on clean architecture and performance.

The role is based in Boston with a hybrid work model, offering AI-first tools and opportunities to advance engineering excellence. We value deep technical skills, a collaborative mindset, and the ability to translate complex requirements into robust software across the full

Qualifications

  • BS in Computer Science or equivalent professional experience.
  • 5+ years of commercial-grade full-stack software development.
  • Deep understanding of frontend UI, backend logic, scalability, frameworks, and performance optimization.
  • Core stack includes C#, Angular, PostgreSQL and Python.

Responsibilities

  • Full-Stack Delivery: design and build robust backend REST services and responsive Angular frontends.
  • Technical Design: translate complex requirements and system architecture into elegant software.
  • Cloud & Analytics: develop cloud-based analytics frameworks and performance-driven tooling.
  • DevOps Excellence: contribute to automated testing, CI, and modern DevOps infrastructure.
  • Optimization: prioritize performance, cost-efficiency, and stability in deployments.

Skills

Frontend/Angular
Backend/C#
Cloud/AWS
PostgreSQL
Python

Education

BS in Computer Science
MS in CS preferred

Tools

C#
Angular
PostgreSQL
Python
AWS

Job description

Kardow is seeking a Senior Full Stack Software Engineer to design, build, and optimize scalable analytic solutions. The core stack includes .NET, Angular, and AWS, with a strong emphasis on clean architecture and performance.

The role is based in Boston with a hybrid work model, offering AI-first tools and opportunities to advance engineering excellence. We value deep technical skills, a collaborative mindset, and the ability to translate complex requirements into robust software across the full

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