Platform Engineer - $250,000+ Bonus (Fintech)
$250k per yearHunter Bond
Client
– Award winning Financial Trading firm run by passionate Computer ScientistsSalary
– Up to $250,000 + an exceptional bonus and packageLocation
– Montreal, City based (stunning offices)The Company
A leading global quantitative investment firm, built on research, technology and data. Engineers here work closely with researchers and developers, and the platform they build underpins compute-intensive research and trading workloads across the business.The Role
You’ll deliver and maintain mission-critical platform infrastructure using a DevOps methodology, working with developers, researchers and infrastructure teams to build, automate and scale the services used across the firm. The impact is direct: improving operational efficiency, building CI/CD pipelines and self-service workflows, and making life better for developers and researchers.You may have deep expertise in one or two areas, but you’ll be able to contribute across the whole ecosystem.Platform Domains
Observability:
monitoring, tracing, logging and alertingScheduling and orchestration:
HPC schedulers and container orchestration, including KubernetesDevelopment tools:
CI/CD, version control, artifact repositories and developer platformsMiddleware: messaging queues, service discovery & load balancingDatabases: relational, NoSQL and time-series systemsAutomation: infrastructure automation, configuration management & self-service enablementDegree in Engineering, Computer Science or a related field4+ years in DevOps, SRE or platform engineeringLinux system administration and troubleshooting (Bash, Docker, Kubernetes)Infrastructure automation and configuration management (Ansible, Terraform, Puppet)Nice to Have
Observability stack knowledge (Prometheus, Grafana, Elastic, Vector, AlertManager)Database experience (PostgreSQL, ClickHouse, MSSQL, Redis, FoundationDB)Middleware (Kafka, Consul), HPC schedulers (Slurm) or workflow orchestrators (Airflow, Prefect)On-prem deployment of tools like GitLab, Artifactory, CI/CD or JupyterHubAPI development and extending Kubernetes via custom controllers and CRDsWhat’s on Offer
Work on genuinely challenging, compute-intensive platform problemsA direct line to the researchers and developers who use what you buildA technology-first culture with real influence over platform direction
#J-18808-Ljbffr
– Award winning Financial Trading firm run by passionate Computer ScientistsSalary
– Up to $250,000 + an exceptional bonus and packageLocation
– Montreal, City based (stunning offices)The Company
A leading global quantitative investment firm, built on research, technology and data. Engineers here work closely with researchers and developers, and the platform they build underpins compute-intensive research and trading workloads across the business.The Role
You’ll deliver and maintain mission-critical platform infrastructure using a DevOps methodology, working with developers, researchers and infrastructure teams to build, automate and scale the services used across the firm. The impact is direct: improving operational efficiency, building CI/CD pipelines and self-service workflows, and making life better for developers and researchers.You may have deep expertise in one or two areas, but you’ll be able to contribute across the whole ecosystem.Platform Domains
Observability:
monitoring, tracing, logging and alertingScheduling and orchestration:
HPC schedulers and container orchestration, including KubernetesDevelopment tools:
CI/CD, version control, artifact repositories and developer platformsMiddleware: messaging queues, service discovery & load balancingDatabases: relational, NoSQL and time-series systemsAutomation: infrastructure automation, configuration management & self-service enablementDegree in Engineering, Computer Science or a related field4+ years in DevOps, SRE or platform engineeringLinux system administration and troubleshooting (Bash, Docker, Kubernetes)Infrastructure automation and configuration management (Ansible, Terraform, Puppet)Nice to Have
Observability stack knowledge (Prometheus, Grafana, Elastic, Vector, AlertManager)Database experience (PostgreSQL, ClickHouse, MSSQL, Redis, FoundationDB)Middleware (Kafka, Consul), HPC schedulers (Slurm) or workflow orchestrators (Airflow, Prefect)On-prem deployment of tools like GitLab, Artifactory, CI/CD or JupyterHubAPI development and extending Kubernetes via custom controllers and CRDsWhat’s on Offer
Work on genuinely challenging, compute-intensive platform problemsA direct line to the researchers and developers who use what you buildA technology-first culture with real influence over platform direction
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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