Job description

Squarepoint Capital's Infrastructure Engineering team is responsible for engineering the foundational services that power one of the world's leading quantitative investment firms. Our infrastructure spans global datacenters across AMER, EMEA, and APAC. We are seeking a hands-on Infrastructure Developer - a software engineer at heart who specializes in infrastructure automation through deep, programmatic integration of service-level APIs. This is not a traditional infrastructure operations role. You will write production-quality code every day, designing and building the API fabric that connects every layer of the infrastructure stack. API Design & Ownership Across the Infrastructure Stack Bare Metal & Provisioning: API integration with provisioning systems to drive automated server lifecycle - from hardware discovery and BIOS configuration through OS installation, burn-in, and production handover. Network Fabric: API-driven configuration of the network environments Virtualization & Cloud: API integration with cloud providers and on-premises platforms, enabling consistent resource lifecycle management across environments. Storage: API-driven management of file, block, and object storage services - including volume provisioning, replication, policy, data lifecycle, and performance tier assignment. CMDB as Source of Truth: Own the enterprise CMDB API layer - ensuring it is the authoritative, real-time source of truth for all infrastructure configuration items and their relationships. Infrastructure Automation Engineering Implement end-to-end automation pipelines that eliminate manual handoffs between teams (e.g., server provisioning → network configuration → storage attachment → scheduler registration). Build event-driven workflows to propagate infrastructure state changes across dependent systems automatically. Develop self-service interfaces (APIs, CLIs, integrate with internal developer portals) that delegate routine infrastructure operations to appropriate stakeholders - enabling teams to manage their own resources within defined guardrails. Implement policy-as-code integrations: translating high-level security requirements into programmatic enforcement through the CMDB and automation layers. Contribute to the evolving CMDB data model - schemas that capture the past, current, and future state of infrastructure across all layers (physical, network, compute, storage, cloud, application). Ensure the CMDB schema is tolerant of evolution: new CI types, relationship types, and attributes must be expanded without breaking existing consumers. Model topological relationships between infrastructure components Required Qualifications Bachelor’s degree in computer science, Software Engineering, or a related technical discipline. 4+ years of experience in software development, with a strong focus on infrastructure automation, systems integration, or platform engineering. Production-quality Python development: you write clean, tested, maintainable Python code as a core part of your daily work. Experience with CMDB platforms: hands-on experience with enterprise CMDB vendors or open-source alternatives - including data model design, API integration, and migration from legacy sources of truth. API design expertise: Deep experience designing RESTful APIs, including resource modeling, versioning strategies, pagination, error handling, and OpenAPI/Swagger documentation. Schema and data modeling: proven experience designing relational database schemas for complex, evolving domains — including normalization, indexing, and schema migration strategies. Infrastructure domain knowledge: working understanding of at least two of the following domains — bare metal provisioning, network configuration, storage systems, virtualization, or cloud infrastructure. Systems integration experience: demonstrated track record of integrating heterogeneous systems via APIs — consuming vendor APIs, building abstraction layers, and managing API lifecycle Strong verbal and written communication: ability to translate complex technical concepts for both engineering peers and non-technical business stakeholders; comfortable presenting to senior leadership. Strong analytical and organizational skills: able to scope ambiguous problems, decompose them into actionable work, and drive execution across multiple teams. Experience with the Atlassian stack and Git, using these tools for project tracking, documentation, and code review workflows. Preferred Qualifications Network automation experience: familiarity with network device APIs and network automation frameworks. Kubernetes and cloud-native development: experience deploying and operating microservices on Kubernetes, including Knative, Helm, and GitOps workflows. Working knowledge of Rust: for performance-critical automation components or CLI tooling. Experience in financial services or other latency-sensitive environments: understanding of the operational rigor, change management discipline, and reliability requirements of production trading infrastructure. Security automation: experience integrating with micro-segmentation platforms or implementing policy-as-code for security. Infrastructure-as-Code familiarity: experience with Terraform, Ansible, or similar IaC tools - and critically, an informed perspective on where IaC patterns are appropriate versus where a CMDB-driven API model is superior. The minimum base salary for this role is $100,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates’ compensation and benefits will be determined in consideration of various factors.

Requirements

Must-haves

API Design & Ownership Across the Infrastructure Stack
Bare Metal & Provisioning: API integration with provisioning systems to drive automated server lifecycle - from hardware discovery and BIOS configuration through OS installation, burn-in, and production handover.
Network Fabric: API-driven configuration of the network environments
Virtualization & Cloud: API integration with cloud providers and on-premises platforms, enabling consistent resource lifecycle management across environments.
Storage: API-driven management of file, block, and object storage services - including volume provisioning, replication, policy, data lifecycle, and performance tier assignment.
CMDB as Source of Truth: Own the enterprise CMDB API layer - ensuring it is the authoritative, real-time source of truth for all infrastructure configuration items and their relationships.
Infrastructure Automation Engineering
Implement end-to-end automation pipelines that eliminate manual handoffs between teams (e.g., server provisioning → network configuration → storage attachment → scheduler registration).
Build event-driven workflows to propagate infrastructure state changes across dependent systems automatically.
Implement policy-as-code integrations: translating high-level security requirements into programmatic enforcement through the CMDB and automation layers.
Contribute to the evolving CMDB data model - schemas that capture the past, current, and future state of infrastructure across all layers (physical, network, compute, storage, cloud, application).
Ensure the CMDB schema is tolerant of evolution: new CI types, relationship types, and attributes must be expanded without breaking existing consumers.
Model topological relationships between infrastructure components
Bachelor’s degree in computer science, Software Engineering, or a related technical discipline.
4+ years of experience in software development, with a strong focus on infrastructure automation, systems integration, or platform engineering.
Production-quality Python development: you write clean, tested, maintainable Python code as a core part of your daily work.
Experience with CMDB platforms: hands-on experience with enterprise CMDB vendors or open-source alternatives - including data model design, API integration, and migration from legacy sources of truth.
API design expertise: Deep experience designing RESTful APIs, including resource modeling, versioning strategies, pagination, error handling, and OpenAPI/Swagger documentation.
Schema and data modeling: proven experience designing relational database schemas for complex, evolving domains — including normalization, indexing, and schema migration strategies.

Nice-to-haves

Network automation experience: familiarity with network device APIs and network automation frameworks.
Kubernetes and cloud-native development: experience deploying and operating microservices on Kubernetes, including Knative, Helm, and GitOps workflows.
Working knowledge of Rust: for performance-critical automation components or CLI tooling.
Experience in financial services or other latency-sensitive environments: understanding of the operational rigor, change management discipline, and reliability requirements of production trading infrastructure.
Security automation: experience integrating with micro-segmentation platforms or implementing policy-as-code for security.

Application prep

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Keywords to mirror

apipythonkubernetesrust

Platform: greenhouse
Effort: quick

Benefits

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Dental

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401(K)

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