Sr. Fullstack Platform Engineer - (Backend Focus)
- Compensation
- Not disclosed
- Location
- Los Angeles, CA
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 18+ years
- Category
- Fullstack
- Posted
Skills
Must have
- Strong backend and platform experience. You are credible in Python/Django, APIs, distributed systems, cloud infrastructure, Kubernetes, queues, jobs, and production reliability.
- Fullstack production range. You are comfortable enough with TypeScript, React, and frontend product surfaces to build, debug, or shape the UI that exposes your backend work.
- High agency and high standards. You do not wait for a perfect spec. You clarify the problem, find the constraint, make progress, and raise the quality bar as you go.
- Platform instincts. You think in contracts, interfaces, failure modes, permissions, observability, and lifecycle. You know the difference between a feature that works once and a primitive that other p
- Good taste in abstraction. You do not over-framework the first version, but you can see when repeated customer work wants to become a platform capability.
- Taste in customer experience. You can tell when a complex workflow is technically correct but still confusing, brittle, or hard to trust. You care about making advanced software feel legible, fast, an
- AI-first engineering habits. You use tools like Claude Code, Cursor, Codex, or similar systems to move faster and think at a higher level. You still understand the code you ship, review generated work
- Judgment in spite of AI. You can deliver high-quality software even when AI tools are eager to generate too much code, plausible abstractions, brittle tests, or shallow solutions.
- Customer empathy. You can talk to scientists, data teams, operators, and enterprise stakeholders, then translate messy real-world needs into durable engineering decisions.
- Clear communication. You can write down the shape of a problem, explain tradeoffs, and help the team make better decisions without turning everything into a meeting.
Full description
Sr. Fullstack Platform Engineer - (Backend Focus)
Salt AI is building the governed execution platform for AI work that has to be real: deployable, auditable, permission-aware, and reliable enough for regulated industries.
Our customers are doing work where “the demo looked cool” is not enough. In life sciences, that can mean RNA-targeted drug discovery, combinatorial chemistry, clinical-trial-adjacent research, and scientific workflows that need traceability, reproducibility, and trust. In financial services, healthcare, legal, and government, it means sensitive data, private infrastructure, and AI systems that have to be controlled rather than merely impressive.
We are looking for a Senior Fullstack Platform Engineer who can help turn that platform into something customers can actually build on: software that feels considered, powerful, fast, trustworthy, and unusually good for the complexity underneath.
This role leans backend and platform. You should go deep on Python, Django, APIs, cloud infrastructure, Kubernetes, workflow execution, data systems, reliability, and platform contracts. But the scope is still fullstack. You are not just building backend services in isolation. You are responsible for the Fullstack of the customer experience: infrastructure, data contracts, APIs, runtime behavior, UI surfaces, failure states, and the quality bar of the thing a customer actually uses.
The Role
This is a Fullstack Platform Role for someone who likes deep systems, clean abstractions, and product surfaces that make hard infrastructure feel usable.
You will work across workflow execution, agent orchestration, pipeline-as-tool contracts, customer data access, retrieval, permissions, observability, and the product surfaces that expose those capabilities to real users. Some weeks the important work will be backend architecture. Some weeks it will be the API and event contract that makes the frontend possible. Some weeks it will be a React surface that helps a customer understand what happened inside a distributed AI workflow.
The through-line is platform leverage plus customer experience: building primitives that make Salt more trustworthy, more composable, easier for internal teams to extend, and dramatically better for customers to use.
We are an AI-first engineering team building AI tools for modern, forward-thinking companies. That does not mean accepting AI-generated slop at higher velocity. It means using AI to increase your leverage while keeping your standards intact. The right person can use agents, code generation, and modern tooling aggressively without surrendering authorship, judgment, or accountability.
AI should make you faster, not less discerning. We are hiring engineers whose taste survives contact with AI-generated code.