Staff Software Engineer

Fluidstack

$150K — $250K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software development, particularly in complex system architecture.
  • Strong ability to navigate ambiguity and build structured maps from unstructured data.
  • Proficient in AI tooling and familiar with APIs and agent-based frameworks.
  • Experience in creating and maintaining domain models in a software environment.
  • Capability to transform messy data into useful formats for applications, ML, or data engineering.
  • Understanding of geospatial formats and building systems that interface with vendor documentation.
  • Programming experience in multiple languages, ideally Go and TypeScript.

Responsibilities

  • Build and enhance core primitives for system architecture, including ownership and orchestration.
  • Develop and maintain a robust domain model that captures complex data realities.
  • Define and manage data interactions with external vendor systems and formats.
  • Enable AI agents to operate effectively by providing tools and frameworks with necessary guardrails.
  • Transform unstructured data into usable formats through rigorous modeling processes.
  • Collaborate with teams to ensure system reliability and functionality in production code environments.
  • Continuously improve processes and workflows within the coding and development practices.

Benefits

  • Competitive total compensation package that includes salary and equity.
  • Retirement or pension plan that aligns with regional standards.
  • Health, dental, and vision insurance coverage.
  • Generous paid time off (PTO) policy that reflects local norms.
Full Job Description
Role Scope
  • Build core primitives end to end. Entity ownership, audit, authorization, orchestration. You make the right thing the default and the wrong thing hard.
  • Own the domain model. Turn Fluidstack's world of power, datacenters, and chips into composable entities that still hold up years from now.
  • Define interactions with the outside. Interface with vendor systems and ingest the formats our domain actually speaks: KMZ, BIM, Revit, vendor docs.
  • Make AI agents first-class operators of our systems. Give them the tools, guardrails, and audit trails to act safely, not just advise.
What We're Looking For

The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
  • You learn at a steep slope. You reach real competence in an unfamiliar domain fast, whether it's a workflow engine, an authz model, or a geospatial format. We value this over existing expertise.
  • You have taste in abstraction. You see the one primitive hiding under five janky one-offs, and you know when not to abstract.
  • You model domains with rigor earned the hard way. You've gotten it wrong, felt the pain, and never forgot it.
  • You pull structure out of mess. You've done real work turning messy, unstructured data into something usable, in ML, data engineering, or research.
  • You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
  • You've shipped production code that other people depend on, and you're comfortable in any language using AI coding tools.
  • Bonus: MLE work, especially extraction and synthesis from unstructured data. Workflow and orchestration engines (Temporal, Cadence, Airflow). Geospatial (KMZ/GIS) or BIM (Revit, IFC). Authorization and policy engines (OPA, Zanzibar-style, RBAC/ABAC). Audit or event-sourcing systems. Go, TypeScript, and Postgres.


Salary & Benefits
  • Competitive total compensation package (salary + equity).
  • Retirement or pension plan, in line with local norms.
  • Health, dental, and vision insurance.
  • Generous PTO policy, in line with local norms.

The base salary range for this position is $150,000 - $250,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.

We are committed to pay equity and transparency.

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