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# Staff Engineer (Technical Lead) - Full Stack (.NET, React, AWS & AI) - Remote

- **Company:** Calance Consulting Corporation
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $166,400.0
- **Contract:** Permanent contract
- **Skills:** Reference Implementation, .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, C Sharp (Programming Language), Cascading Style Sheets (CSS), Software as a Service, Code Review, Continuous Integration, Data Stores, Software Design Documents, DevOps, Distributed Systems, Systems Integration, TypeScript, Web Applications, ReactJS, Retrieval-Augmented Generation, Large Language Models, Hallucination Detection, Caching, Generative AI, Backend, Agentic-AI, Cloudformation, Production Code, Front End Software Development, Software Coding, Model Inference, Terraform, GPT, Software Version Control
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/b75be29a-2384-4dda-a4fd-c8a8b25c5a2c

## About the Role

Full-stack ownership. Deep C#/.NET plus strong, recent, hands-on React and TypeScript. You should be credible in both layers in a design review, not a backend engineer who "also touches CSS."
You have written and shipped production code yourself in the last 6-12 months, in both layers. We will go deep on code you wrote, not only systems you directed.
Typically 6-10 years of experience, including at least ~2 years owning complex work: architecture in an area, mentoring, and shipping without being steered through every decision.
Distributed systems on AWS: APIs, event-driven services, messaging, data stores, caching, CI/CD, observability, and infrastructure. You have designed and built systems, not only consumed them.
Technical lead experience in an area: architecture, code reviews, mentoring, and still writing a large share of the code. Title alone is not enough. We will ask what you personally built and who took your direction.
Advanced React/TypeScript: component architecture, state management, API integration, performance, testing, and large-scale SPA development.
Hands-on production exposure to AI/ML or generative AI in at least one of: LLM APIs, model inference, RAG, vector databases/embeddings, AI agents, or shipping an AI feature used by real users or internal operators.

Strongly Preferred
Multi-tenant SaaS or CMS/admin product experience.
Media, OTT, or publishing domain familiarity.
A track record of introducing AI in a way that reduced cycle time or operating cost, with a clear view of failure modes (hallucination, eval, prompt/version control).
Experience inheriting a large React codebase and improving it without a rewrite.
Native or CTV app exposure (this role is web + backend first).
CloudFormation/Terraform and a close working relationship with DevOps.

## Description

This is a hands-on role. 60-80% of your week is writing production code: C#/.NET on the backend, React/TypeScript on the frontend. You write the code yourself.

You are the technical lead for one product area: architecture, quality bar, and mentoring. You set direction by shipping the reference implementation, not by running a meeting calendar.
This is not a people-manager job.

AI is part of the job, not the whole job. We want someone who has put LLMs into real product workflows (APIs, RAG, agents, or production integrations), not a research scientist and not someone whose only AI experience is ChatGPT.

What You Will Do
Ship features and fixes end-to-end in C#/.NET and React/TypeScript. You write a large share of the code in your area, including the challenging bits, not only the design.
Design and implement AWS-based distributed systems: services, events, messaging, data stores, caching, CI/CD, and observability. You operate what you ship.
Own architecture for your product surface: APIs, UI, data, and cloud. Raise the quality bar by changing the code: React/TypeScript component architecture, state management, performance, testing, and API integration in a large web app.
Identify where generative AI actually helps (internal tools, CMS workflows, support, agent-assisted development) and ship those integrations with production constraints: eval, cost, latency, safety, and fallbacks.
Lead through architecture, code review, and mentoring, not through status meetings. Reviews and design docs are the 20-40%, not a substitute for writing code.
Unblock engineers in your area with code, a short design, and reviews so the team is not inventing parallel designs.