Full Stack Engineer; AI Code Review & Release Quality

Sig Parser is a fast growing B2B SaaS startup that extracts, enriches, and acts on relationship data from email and calendar systems. Our customers are sales, marketing, and business development teams at law firms, consulting firms, financial services companies, and other relationship-driven businesses who depend on their network to drive revenue.

This is an in office position in Carlsbad, CA. You will be in the office five days per week working alongside the rest of the engineering team. We are not sponsoring visas (including H1B) for this role. You must already be authorized to work in the United States.

Sig Parser is looking for a driven full stack software engineer who is self directed and has an eye for good software design. This is a senior engineering role focused on reviewing AI-generated code, enforcing our SDLC process, and making sure we don’t ship buggy software.

Like most modern engineering teams, a significant portion of our code is now written with AI assistance. That has made us faster, but it also means the bar for human code review has gone up, not down. AI generates code that compiles and often passes tests but can miss edge cases, introduce subtle security issues, duplicate existing functionality, or drift from our architectural patterns.

We need an experienced full stack engineer who can spot these problems and push back with authority.

You will be the person who reads pull requests carefully, understands what the code actually does across the full stack, and decides whether it is ready to ship. You will own the release process from PR review through production deployment and post-release monitoring.

We use AI coding tools like Claude Code heavily, and most of our code is now generated with AI assistance. Realistically, this means hands-on coding will be a small part of your day. The majority of your time will be spent prompting AI agents, reviewing PRs, running our release process, and improving how we ship. When you do write code, you will typically be directing AI tools to build out the operational side of the stack: monitoring, backend admin tooling, data quality checks, and the internal systems that help us run the product.

You still need to be a strong full stack engineer because you cannot review what you cannot write yourself.

This is primarily a software engineering role, but it does include meaningful platform and infrastructure work. You will monitor AWS RDS performance, work with Cloud Watch logs and metrics, watch our PostgreSQL databases for health and performance issues, and own upgrades to our database servers. Solid AWS experience is a major plus.

• C# and .NET (5+ years) — you must be able to read complex backend code and judge whether it is correct, idiomatic, and safe
• Type Script and JavaScript (3+ years)
• React
• SQL and PostgreSQL (3+ years), including administering and upgrading database servers
• AWS, especially RDS and Cloud Watch
• Git Hub (pull request workflows, Actions, branch protections)
• Regular Expressions
• Demonstrated experience reviewing other engineers’ code at a high standard
• Strong understanding of the full SDLC: requirements, design, implementation, testing, release, monitoring

• Review pull requests with rigor. A lot of this code will be AI-generated and your job is to make sure it is correct, secure, performant, and consistent with the rest of the codebase.
• Enforce our SDLC process. Make sure changes are properly tested, documented, and reviewed before they reach production. We have a dedicated QA team to do 95% of the testing.
• Test hotfix PRs before they deploy to production
• Track QA testing status across active work and keep things moving
• Deploy code to production and own the release process
• Up…