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, GCP, 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)

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