Trading Systems Engineer

7–10+ years operating complex production environments spanning Linux, Kubernetes, and cloud‑native infrastructure.

Deep Cloud experience, preferably within GKE or an equivalent stack (cluster ops, workload orchestration, networking, security, observability).

Strong Terraform expertise for provisioning and managing secure, scalable infrastructure.

Solid Linux fundamentals — performance tuning, debugging, networking, virtualization, and bare‑metal experience.

Strong scripting skills in Python and Bash for automation, tooling, and operational workflows.

Experience with Kafka or similar streaming/data‑pipeline technologies.

Serve as the US‑based SME for our GCP platform with a strong focus on GKE workloads—working within globally aligned standards while contributing your own expertise to improve Terraform‑driven infrastructure and shape cloud architecture across regions

Identify and drive engineering improvements by researching pain points, reducing toil, and delivering high‑impact solutions across our cloud and trading infrastructure.

Leverage automation and IaC to manage and optimize Linux and Kubernetes environments spanning bare‑metal, virtualized, and cloud‑native systems—streamlining workflows and reducing operational friction.

Strengthen platform reliability by improving global monitoring and alerting frameworks, incorporating adaptive and self‑healing mechanisms to elevate operational responsiveness.

Act as a senior escalation point for complex Linux/Kubernetes/Cloud issues, participating in on‑call and ensuring thorough, well‑reasoned incident resolution.

Provide regional technical leadership while collaborating with global stakeholders to define and implement platform standards, architectures, and large‑scale initiatives.