Talent Pool: Trading Systems Engineer Flow Traders · New York, United States 19 hours ago

Tradermath

New York (NY)

On-site

USD 160,000 - 215,000

Full time

14 days+

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Job summary

Flow Traders seeks an experienced SRE/Platform Engineer based in the US to elevate a GCP‑focused platform, with emphasis on GKE workloads, Linux and networking. You will drive Terraform‑driven infrastructure, collaborate across regions, and lead automation to reduce toil while ensuring high‑availability for time‑sensitive trading workloads.

You will mentor teams, handle on‑call escalations, and shape platform standards in partnership with global stakeholders, leveraging Prometheus/Grafana, Git

Qualifications

  • 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.
  • Knowledge of Puppet/Ansible for configuration management and Foreman/Satellite for lifecycle and host management.
  • Practical understanding of monitoring/observability (Prometheus/Grafana or similar) and modern alerting strategies.
  • Strong Git‑centric workflows and comfort with modern CI/CD practices.
  • Ability to lead and influence technical direction at a regional level while collaborating effectively with global colleagues.
  • An entrepreneurial mindset — proactively identifying gaps, reducing toil, and driving self‑directed engineering improvements.

Responsibilities

  • Serve as the US‑based SME for our GCP platform with a strong focus on GKE workloads—improving Terraform‑driven infrastructure and shaping cloud architecture across regions.
  • Identify and drive engineering improvements by researching pain points, reducing toil, and delivering high‑impact solutions across cloud and trading infrastructure.
  • Leverage automation and IaC to manage and optimize Linux and Kubernetes environments spanning bare‑metal, virtualized, and cloud‑native systems.
  • Strengthen platform reliability by improving global monitoring and alerting frameworks with adaptive, self‑healing mechanisms.
  • Act as a senior escalation point for complex Linux/Kubernetes/Cloud issues, participating in on‑call and ensuring thorough incident resolution.
  • Provide regional technical leadership while collaborating with global stakeholders to define and implement platform standards and large‑scale initiatives.
  • Use AI‑assisted engineering tools to accelerate analysis, troubleshooting, documentation, and operational automation.

Skills

Linux
Kubernetes
GKE
Terraform
Python
Bash
Kafka
Puppet
Ansible
Foreman
Grafana
Prometheus
CI/CD
Git
Leadership

Tools

GKE/Cluster ops
Terraform
Puppet
Ansible
Foreman
Satellite

Job description

This role is focused on elevating Flow Traders' GCP-focused platform-especially GKE-while maintaining strong linux and networking fundamentals. Our trading platforms span both ultra‑low‑latency bare‑metal systems and modern cloud‑native services. This role bridges on‑prem and cloud environments, strengthens global platform standards, and drives high‑impact improvements that enhance reliability, reduce toil, and support time‑sensitive trading workloads.

What you will do
  • 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.
  • Use AI‑assisted engineering tools to accelerate analysis, troubleshooting, documentation, and operational automation.
What you need to succeed
  • 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.
  • Knowledge of Puppet/Ansible for configuration management and Foreman/Satellite for lifecycle and host management.
  • Practical understanding of monitoring/observability (Prometheus/Grafana or similar) and modern alerting strategies.
  • Strong Git‑centric workflows and comfort with modern CI/CD practices.
  • Ability to lead and influence technical direction at a regional level while collaborating effectively with global colleagues.
  • An entrepreneurial mindset — proactively identifying gaps, reducing toil, and driving self‑directed engineering improvements.

At Flow Traders, we acknowledge the importance of open and transparent communication whether it be with our employees, our stakeholders, or our local and global communities.When it comes to salary, Flow Traders uses reliable market research to create base ranges. Where candidates will fall within the range depends on a few different factors including but not limited to level of experience, location, and specific skill set.We also consider ourselves one global team, and to demonstrate that, all employees are eligible to share in the company’s success through an annual discretionary variable remuneration allocated based on company, group and individual performance and contribution.

Per NYC salary transparency law, the total compensation for this role includes a base range of $160,000 to $215,000 plus annual discretionary variable remuneration.

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