Sr. Software Engineer - Full Stack

Allocate•Palo Alto, CA

3d•$145,000 - $175,000•Remote

About The Position

Allocate is building the operating system for private markets, and this role sits at the center of the product. As a Senior Full Stack Engineer, you will ship features end to end, from Postgres schema and C# APIs through to the Vue and TypeScript interfaces that advisors and their clients use every day to discover, model, transact in, and manage private market investments. There is a lot for us to build, and we need an engineer with a genuinely broad skill set who can jump in and help lay the technical foundation for the company's future. You will work in a small, independent, cross-functional squad with real autonomy over what gets built and how, delivering critical features across both our client-facing and admin portals. We are an AI-first engineering organization. Our engineers treat AI coding tools as a core part of the daily workflow, from agentic development through code review, and we expect everyone here to push the boundaries of what those tools can do. We are equally serious about keeping a human in the loop. Engineers own every line that ships, review AI-generated work with the same rigor they would apply to a colleague’s pull request, and stay accountable for the correctness, security, and maintainability of what reaches our clients. The tools accelerate the work; the engineering judgment is still yours.

Requirements

5–10 years of experience building web applications, including 5+ years of object-oriented software engineering (C#, Java, or similar).
3+ years of C# experience and 2+ years developing REST APIs.
3+ years with the Vue.js front-end framework and 1+ years with TypeScript.
5+ years with SQL-based databases (Postgres ideally), including the ability to design a schema that results in a performant application.
A track record of delivering frontend software that is correct, stable, and security compliant, with strong attention to detail and a feel for what makes good user experience.
An AI-first development mindset: real experience shipping production code with AI agents using tools like Claude Code, Cursor, or Codex, plus informed opinions on where those tools excel and where they fall short.
Basic understanding of common AWS services (S3, CloudFront, ECS/EKS) and how to apply them to business problems.
Proficiency with Git and the ability to work in a Git-based environment with standard work management tooling.
Autonomy and ownership: you can work effectively without supervision.
Entrepreneurial spirit: self-directed, innovative, biased toward action, and comfortable in ambiguity and even failure.
Bachelor's degree in Computer Science, a similar technical field of study, or an equivalent amount of real-world experience.

Nice To Haves

ASP.NET Web API development experience, plus familiarity with ORM concepts (Dapper, Entity Framework) and FluentMigrator.
Experience with agentic workflows such as running async coding agents, MCP integrations, or custom tooling around LLMs.
Docker and Docker Compose experience, and familiarity with CI pipelines.
DevOps experience (Terraform, AWS, ECS/EKS).

Responsibilities

Build rich but simple user experiences for new products using Vue.js and TypeScript, from first prototype through production.
Partner with product and design to iterate on flows and user experience, then translate them into interfaces that hold up under real advisor workflows.
Deliver frontend software that is correct, stable, and security compliant across both the client and admin portals.
Design and implement new features and endpoints in our C#/.NET backend APIs.
Design and implement the schema changes those features require, with performance in mind: knowing when an index earns its keep, and on which fields.
Build high-quality, scalable, testable code that drives engineering maturity and efficiency across the stack.
Own features end to end as part of an independent, cross-functional squad in an Agile development environment.
Use AI coding tools such as Claude Code, Cursor, or Codex as a primary part of your workflow, not an occasional assist.
Evaluate emerging tools and agentic workflows continuously, and bring what works back to the rest of engineering.