Senior Devops Platform Engineer

3-5 years of experience
Compiling, and deploying software in multiple languages with a focus on C++, Python, and Java
Build automation tooling with a focus on Bazel
Hybrid cloud/on-prem Kubernetes/Helm architecture design, build, and operations
Google Cloud Platform and associated SaaS/PaaS products
Observability experience using major tools such as OpenTelemetry, Grafana, Splunk, Datadog, CloudWatch, etc
Linux and networking
Terraform, including modularization
DevEx experience delivering bespoke development platforms
Major CI/CD tooling such as GitLab, Github, ArgoCD, or Jenkins
Package management tooling such as pypy, conan, maven, conda etc

Expand and enhance existing CI/CD systems, infrastructure as code, build job orchestration, development environment automation.
Architect and manage large scale Kubernetes workloads.
Own DevOps and cloud engineering solutions from inception to delivery through stakeholder feedback, documenting design decisions, observability, and long-term maintainability.
Partner with internal development teams and regularly communicate with them to help deliver a high-quality platform that is observable and self-service.
Monitor the performance and cost data of (cloud systems, pipelines, etc) while continuously optimizing with development team partners.
Learn and grow your knowledge of development experience to help other developers and quants be more effective.
Use your unique knowledge base to help other team members make better products and break established assumptions on how things should work.
Take full ownership (design, implement, test, deploy, maintain) of your projects.

Cloud-based data warehousing operations at scale (20+ petabyte range) using BigQuery (preferred) or AWS RedShift, Azure Synapse, or Databricks.
Job orchestration services like Apache Airflow
Advanced Linux skills, such as kernel and memory tuning and container optimizations
Streaming data and messaging, such as Apache Pulsar or Kafka