AI Platform Engineer II
Braze
23 days ago
Toronto, Canada
Mid Level / Senior
H1B Sponsor
Responsibilities
- Build and maintain critical services and subsystems on the AI platform.
- Implement cloud-native solutions for reliability, scalability, and fault tolerance.
- Troubleshoot production incidents end-to-end to identify root causes.
- Contribute to observability practices using Sentry and Datadog.
- Collaborate with data scientists, ML engineers, and product teams.
- Improve developer experience by streamlining workflows and supporting MLOps best practices.
Requirements
- 2-4 years of experience in platform engineering or a related backend role.
- Solid understanding of platform architecture in ML or data-intensive environments.
- Hands-on experience with Kubernetes and cloud infrastructure, preferably GCP.
- Ability to troubleshoot complex distributed systems under pressure.
- Writes clean, modular code with a focus on testable APIs.
- Experience working with AI coding assistants and effective prompting strategies.
- Clear communicator who can work across technical and non-technical stakeholders.
- Proactive problem solver who identifies issues and works around obstacles.
Benefits
- Competitive compensation that may include equity.
- Retirement and Employee Stock Purchase Plans.
- Flexible paid time off.
- Comprehensive benefit plans covering medical, dental, vision, life, and disability.
- Family services including fertility benefits and equal paid parental leave.
- Professional development supported by formal career pathing and learning platforms.
- Curated in-office employee experience to foster community and innovation.
- Opportunities to give back to the community with volunteer initiatives.
- Employee Resource Groups providing supportive communities.
Tech Stack
Apache AirflowApache SparkAWSDatadogFastAPIGitHub ActionsGoogle BigQueryGoogle Cloud PlatformHelmJenkinsKubernetesMLflowPythonRabbitMQSQLTerraform
Categories
AI & MLBackendDevOps