Platform Compute Specialist

Job Summary:

Squarepoint is seeking a Platform Specialist to join our global Platform Compute (PLC) team. This role is ideal for experienced engineers with a strong software development background who are passionate about building scalable, resilient infrastructure systems. You will architect, develop, and optimize compute platforms that support our high-performance, data-intensive workloads. You'll work closely with global engineering teams to design and implement infrastructure-as-code, observability pipelines, and self-healing systems. This is a hands-on engineering role with a strong emphasis on automation, performance tuning, and developer enablement.

Main Duties & Responsibilities:

• Architect and evolve scalable compute platforms using modern infrastructure engineering practices.


• Design and implement automation frameworks for provisioning, configuration management, and lifecycle operations.


• Develop internal tooling and APIs to abstract infrastructure complexity and improve productivity.


• Take part in bulk server provisioning which may include using remote hands to complete tasks.


• Drive observability initiatives by building and integrating telemetry pipelines (metrics, logs, traces).


• Collaborate with software engineering teams to ensure infrastructure supports application scalability, reliability, and security.


• Mentor junior engineers and contribute to engineering best practices across the team.


• Participate in on-call, incident response and postmortems, driving long-term improvements through automation and architectural changes.

Qualifications/Skills Desired:

• Expert-level Linux systems administration (RHEL/CentOS/Ubuntu)


• Configuration management (e.g., Ansible, Chef, SaltStack)


• Proficient in Python, Go, or Rust for infrastructure tooling


• Experience with AWS, Google Cloud Platform, or Azure (compute, storage, networking, IAM)


• Infrastructure-as-Code (e.g., Terraform, Pulumi)


• Monitoring and alerting (e.g., Prometheus, Grafana, Datadog, Zabbix)


• Logging and tracing (e.g., ELK stack, Fluentd, OpenTelemetry, Jaeger


• Identity and access management (e.g., LDAP, Kerberos, OAuth2)


• Cloud-native services (e.g., S3, EBS, GKE, EKS, Cloud Functions)


• Git-based workflows and version control


• Agile methodologies and DevOps culture


• Test-driven infrastructure development and automated testing frameworks


• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Nice to have:

• CI/CD pipelines (e.g., GitLab CI, Jenkins, ArgoCD)


• Hybrid cloud architecture and workload migration strategies


• Virtualization technologies (e.g., KVM, VMware, Hyper-V)


• Contributions to open-source infrastructure projects or internal developer platforms


• Containerization and orchestration (e.g., Docker, Kubernetes, Helm)


• Secure system design and hardening (e.g., SELinux, AppArmor, CIS benchmarks)


• Experience with Netbox using IPAM and custom modules

The minimum base salary for this role is $120,000 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