FluidStack

2 weeks ago

Software Engineer, Cloud Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and operate the observability platform and production control plane that keep a hyperscale AI compute fleet legible and manageable—from site health down to individual devices and links. Define stable, versioned API contracts for infrastructure, own fleet state as a machine-readable source of truth, and help land new hardware cleanly via provisioning workflows. Work with Kubernetes-based systems and real-time telemetry at extreme scale.

Location: San Francisco, New York, Seattle, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own and operate the observability platform, including data pipelines, correlation engine, and healthcheck framework for fleet legibility.
•Define and build the infrastructure API surface, designing contracts between production infrastructure and all dependent tools.
•Build the production control plane with unified machine management, state inspection, and distributed command execution backed by Kubernetes-based infrastructure.
•Own fleet state as the machine-readable source of truth, including SLOs and site lifecycle state across provisioning and operations.
•Land new hardware into the platform through provisioning workflows such as ZTP, DHCP, DNS, and artifact management.

Pay and Benefits

Salary: USD 175,000 - 300,000 annually

Equity and Bonus:Equity

Perks:RetirementHealth InsuranceDentalVisionPaid LeavePension

Key Requirements

•Treat toil as a bug and build automation so nothing requires a human to do the same work twice.
•Design APIs that age well and avoid leaky abstractions at scale.
•Operate effectively in ambiguity—map unknowns and communicate them to others.
•Learn quickly in unfamiliar domains and reach real competence fast.
•Be comfortable with pager/incident response: run incidents, write postmortems, and fix systemic causes.

Experience:Distributed systemsData pipeline engineeringTime-series observabilityAPI designProduction services

Skills:Extreme ownershipFirst principlesHigh velocityLearning agilityIncident managementCommunication

Tech Stack:KubernetesPrometheusThanosVictoriaMetricsTemporalCadenceBMC/RedfishGoPythonPostgresLLM APIsMCP serversAgentic frameworksClaude CodeCursorAI toolingZTPDHCPDNSIaaS

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

2 weeks ago

Software Engineer, Cloud Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Seattle, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own and operate the observability platform, including data pipelines, correlation engine, and healthcheck framework for fleet legibility.
•Define and build the infrastructure API surface, designing contracts between production infrastructure and all dependent tools.
•Build the production control plane with unified machine management, state inspection, and distributed command execution backed by Kubernetes-based infrastructure.
•Own fleet state as the machine-readable source of truth, including SLOs and site lifecycle state across provisioning and operations.
•Land new hardware into the platform through provisioning workflows such as ZTP, DHCP, DNS, and artifact management.

Pay and Benefits

Salary: USD 175,000 - 300,000 annually

Equity and Bonus:Equity

Perks:RetirementHealth InsuranceDentalVisionPaid LeavePension

Key Requirements

•Treat toil as a bug and build automation so nothing requires a human to do the same work twice.
•Design APIs that age well and avoid leaky abstractions at scale.
•Operate effectively in ambiguity—map unknowns and communicate them to others.
•Learn quickly in unfamiliar domains and reach real competence fast.
•Be comfortable with pager/incident response: run incidents, write postmortems, and fix systemic causes.

Experience:Distributed systemsData pipeline engineeringTime-series observabilityAPI designProduction services

Skills:Extreme ownershipFirst principlesHigh velocityLearning agilityIncident managementCommunication

Tech Stack:KubernetesPrometheusThanosVictoriaMetricsTemporalCadenceBMC/RedfishGoPythonPostgresLLM APIsMCP serversAgentic frameworksClaude CodeCursorAI toolingZTPDHCPDNSIaaS

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