Senior Full-Stack Software Engineer

The Role

This is a high-ownership engineering role at an early-stage AI company with real traction. You'll work directly with the technical co-founder across the full stack — architecting features, driving technical decisions, and shipping to production with real dealership users. We're not looking for someone who waits for tickets. We want an engineer who brings opinions, raises the technical bar, and is comfortable leading from the front in a fast-moving environment.

What You'll Do

• Own end-to-end feature development across our full stack: React frontends, C#/.NET and Python backends, and AWS cloud infrastructure

• Lead architecture and data modeling decisions across PostgreSQL, MongoDB, and vector storage

• Design and build integrations with third-party automotive APIs and dealership management systems (CDK, Fortellis, OEM APIs)

• Operate AI-first: leverage agentic coding tools (Claude Code, Cursor, Copilot) as a core multiplier in your daily workflow

• Set engineering standards — code review, testing practices, CI/CD, observability — as the senior technical voice on the team

• Collaborate directly with the technical co-founder on technical strategy, architecture reviews, and roadmap prioritization

• Mentor and eventually manage junior engineers as the team scales

What We're Looking For

Required

• 4+ years of professional full-stack software engineering experience

• Strong proficiency with React or a modern frontend framework

• Deep experience with at least one compiled server-side language — C#/.NET preferred

• Production-grade experience with both relational (PostgreSQL, SQL Server) and document (MongoDB) databases

• Demonstrated use of AI-assisted and agentic coding tools as a core part of your workflow — not just familiarity

• Experience designing and owning systems end-to-end: schema design, API design, deployment, and observability

• Strong fundamentals: distributed systems, concurrency, performance optimization, and software design patterns

Nice to Have

• Hands-on AWS experience: ECS/Fargate, Lambda, RDS, CloudWatch, CloudFormation

• Python experience for scripting, data pipelines, or ML/AI workflows

• CI/CD, Docker, and infrastructure-as-code experience

• Exposure to the automotive industry, DMS systems, or B2B SaaS in a vertical market

• Experience at an early-stage startup or founding engineering role

Why DealerCopilot?

• Early-stage equity — stock options are part of the package, and a candidate unexcited about that probably isn't the right fit

• Competitive base salary, with benefits coming online as we scale — we're transparent about where we are as a company

• AI-native development culture: we use agentic coding tools daily to ship faster and think bigger

• Direct line to the technical co-founder — no bureaucracy, no layers

• Live pilot deployments: your work goes to real users in real dealerships, not a staging backlog

• Charleston, SC — one of the best cities in the country to live and build

How to Apply

Send your resume and a brief note about what draws you to this role. Include a link to a project, repo, or case study that reflects how you work — especially anything that shows how you use AI tools to build. We move fast in interviews just like we do in product.