Related skills
grpc java terraform gcp microservices๐ Description
- Architecture leadership: define high-level design and tech choices.
- Advanced Java: build critical components with tests.
- Roadmap contribution: drive area roadmap and identify risks.
- Cross-functional communication: align teams; publish design docs.
- AI-augmented engineering: use agentic AI tools with guardrails.
๐ฏ Requirements
- Expert Java engineering: Java internals, GC tuning, concurrency.
- Spring mastery: IoC/DI, bean lifecycle, Spring Boot.
- Architecture: monolith/microservices, REST, gRPC, CQRS.
- Cloud-native: GCP/AWS/Azure; Terraform; Twelve-Factor.
- Observability: logging, tracing, metrics; SLI/SLO.
- AI-assisted engineering: Claude Code/Codex or equivalent required.
๐ Benefits
- Global AI platform work with top engineers across geographies.
- Ownership: build complex systems at scale in a fast, excellent culture.
- Competitive pay, equity, and comprehensive health insurance.
- Offices in Montreal/Toronto; hybrid with 1 day in-office; remote OK in Canada.
- 30 days annual leave plus holidays and sick leave.
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