Software Engineer, Ontology

Fluidstack•Austin, TX

10d•$224,000 - $279,000•Remote

About The Position

Fluidstack is seeking a Platform Engineer to build the foundational platforms for its global infrastructure and data center operations. This role involves developing internal tooling for CMDB, asset management, DCIM, monitoring and observability, security, and operational automation. The engineer will work cross-functionally to create scalable, reliable, and user-friendly solutions that support the company's growth and infrastructure services. The position emphasizes infrastructure platform development, operational excellence and automation, cross-functional partnership, technical leadership, and ensuring scalability and reliability of systems.

Requirements

3+ years of professional software development experience building production systems
Strong programming skills in Python, Go, or similar languages with understanding of system design patterns
Experience designing and implementing RESTful APIs, data models, and distributed systems
Proficiency with relational and NoSQL databases (PostgreSQL, Redis, etc.)
Hands-on experience with containerization (Docker) and infrastructure-as-code tools (Terraform, Ansible)
Understanding of CI/CD pipelines and modern development workflows
Solid grasp of networking fundamentals (TCP/IP, DNS, HTTP) and Linux/Unix environments
Strong problem-solving abilities with attention to scalability, reliability, and operational concerns
Excellent communication skills—able to convey technical concepts to both technical and non-technical stakeholders
Bachelor's degree in Computer Science or equivalent practical experience

Nice To Haves

Experience with CMDB systems (NetBox, Device42) or asset management platforms
Background in infrastructure automation, DevOps, or platform engineering
Familiarity with workflow orchestration frameworks (Temporal, Airflow, Camunda)
Knowledge of monitoring and observability stacks (Prometheus, Grafana, OpenTelemetry)
Experience with time-series databases and data visualization
Understanding of ITSM frameworks (ITIL) and service management practices
Experience in data center operations, facilities management, or physical infrastructure
Contributions to open-source infrastructure projects

Responsibilities

Design and build the next-generation CMDB system as the authoritative source of truth for infrastructure assets, network topology, and configuration data.
Create DCIM platforms for rack operations, server/GPU deployment, OS installation, quality assurance, and white-screen operations.
Develop end-to-end asset lifecycle management systems covering receiving, racking, inventory, break-fix, and decommissioning workflows.
Build monitoring and observability platforms integrating telemetry from BMS, EPMS, and IT devices with intelligent alarming and incident management.
Create self-service portals and automation for new region bootstrap, day-2 operations, and fleet-scale management.
Eliminate manual toil through workflow automation and self-service tooling that empower operations and engineering teams.
Build workflow orchestration systems for complex multi-step processes spanning incident, problem, and change management.
Develop digital twin visualizations and operational dashboards surfacing actionable insights; partner with data teams on analytics.
Create integration layers connecting internal platforms with external vendors and third-party systems.
Collaborate with data center operations, system engineering, network engineering, and security teams to understand requirements and deliver high-impact solutions.
Work with product and business stakeholders to prioritize features, define roadmaps, and balance competing needs.
Align with support and operations teams to ensure platforms scale with organizational growth.
Evaluate build vs. buy decisions for platform components, weighing in-house development against commercial SaaS and open-source solutions for scalability, cost, and flexibility.
Champion modern development practices including CI/CD, infrastructure-as-code, automated testing, and observability-first design.
Participate in architecture reviews and design discussions, contributing to technical direction and standards.
Foster technical excellence through code reviews, documentation, and knowledge sharing.
Design high-performance, fault-tolerant systems capable of handling thousands of QPS as our infrastructure footprint expands.
Build comprehensive monitoring, logging, and debugging capabilities with robust error handling.
Implement data migration strategies and manage upstream/downstream dependencies carefully during platform evolution.
Own projects end-to-end from concept through deployment, ensuring production readiness and operational excellence.