FluidStack

4 days ago

Software Engineer Tech Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Set the technical direction for an internal AI platform—defining architecture, shared primitives, and engineering standards. Build difficult orchestration/integration components and the data model underneath key tools, then review designs and code to raise quality without slowing the team. Consolidate one-off tools into shared systems so new tooling takes days instead of months, supporting FluidStack’s civilization-scale AI compute infrastructure.

Location: Austin, New York, San Francisco, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Set the technical direction for the internal platform, including architecture, shared primitives, and engineering standards.
•Build the hardest pieces yourself, spanning orchestration/integrations and the underlying data model.
•Review designs and code across the team, raising the bar without becoming a bottleneck.
•Consolidate one-off tools into shared systems to accelerate future tooling.
•Collaborate across hardware/software teams to support AI compute infrastructure goals.

Pay and Benefits

Salary: USD 269,000 - 335,000 annually

Key Requirements

•You've been the engineer others route hard problems to, and you've shipped systems that outlived your tenure on them.
•You've designed and built platforms or shared infrastructure other engineers depend on daily.
•You hold a high bar in code review while keeping velocity, and you know which corners can be cut and which can't.
•You use AI coding tools as a force multiplier daily and get agents doing real work alongside you.
•Bonus: Experience with workflow and orchestration engines, LLM APIs, MCP servers, and agentic frameworks, with Postgres at depth.

Experience:AIData centersInfrastructurePlatformsLLM/agentic systems

Skills:Extreme ownershipHigh-velocity executionFirst-principles thinkingCode review rigorCollaboration

Tech Stack:PostgresLLM APIsMCP serversAgentic frameworksWorkflow enginesOrchestration enginesAI coding tools

Company Brief

FluidStack

Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.

Industry: Cloud Computing

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2017

Glassdoor: 4.7

Website LinkedIn Glassdoor

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FluidStack

4 days ago

Software Engineer Tech Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Austin, New York, San Francisco, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Set the technical direction for the internal platform, including architecture, shared primitives, and engineering standards.
•Build the hardest pieces yourself, spanning orchestration/integrations and the underlying data model.
•Review designs and code across the team, raising the bar without becoming a bottleneck.
•Consolidate one-off tools into shared systems to accelerate future tooling.
•Collaborate across hardware/software teams to support AI compute infrastructure goals.

Pay and Benefits

Salary: USD 269,000 - 335,000 annually

Key Requirements

•You've been the engineer others route hard problems to, and you've shipped systems that outlived your tenure on them.
•You've designed and built platforms or shared infrastructure other engineers depend on daily.
•You hold a high bar in code review while keeping velocity, and you know which corners can be cut and which can't.
•You use AI coding tools as a force multiplier daily and get agents doing real work alongside you.
•Bonus: Experience with workflow and orchestration engines, LLM APIs, MCP servers, and agentic frameworks, with Postgres at depth.

Experience:AIData centersInfrastructurePlatformsLLM/agentic systems

Skills:Extreme ownershipHigh-velocity executionFirst-principles thinkingCode review rigorCollaboration

Tech Stack:PostgresLLM APIsMCP serversAgentic frameworksWorkflow enginesOrchestration enginesAI coding tools

Company Brief

FluidStack

Industry: Cloud Computing

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2017

Glassdoor: 4.7

Website LinkedIn Glassdoor