Platform Compute Specialist

About the role

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)

- 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