Z
Senior Full-Stack Engineer
Sin especificarTiempo completoFull-stack DevelopmentData InfrastructureEnterprise Software
Own the end-to-end control plane for an autonomous data platform. This backend-heavy role covers architecture, production services, APIs, real-time interfaces, and technical direction for enterprise-scale workloads.
Responsabilidades
- Own the control plane and product surface across architecture, services, APIs, and real-time interfaces
- Set technical direction for the stack, data contracts, and engineering patterns
- Build high-throughput services that transform live telemetry into operational decisions
- Develop explainability capabilities that make autonomous decisions understandable
- Partner with founders and enterprise needs to define and prioritize technical work
- Lead architecture and implementation of production-scale systems
- Maintain quality through testing, CI/CD, observability, and operational standards
Requisitos
- At least 7 years of full-stack engineering experience, primarily focused on backend development
- Production expertise with Python, FastAPI, TypeScript, and React
- At least 2 years of hands-on production experience with AWS services such as Lambda, ECS, Fargate, DynamoDB, ECR, S3, API Gateway, or EventBridge
- Experience building cyber, AI, or data-intensive products where scale, latency, and correctness are critical
- Proven ability to take systems from architecture through scaled production and operate them afterward
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related engineering discipline
- Strong product judgment, engineering craftsmanship, and ownership of delivered work
Se valora
- Experience in an elite IDF technology unit or another high-performance engineering environment
- Experience designing real-time, event-driven, or high-throughput cloud architectures
- Strong frontend experience with TypeScript, state management, and component architectures for data-dense interfaces
- Background in observability and telemetry products, developer-facing platforms, or large-scale data platforms such as Spark, Databricks, or Snowflake
Beneficios
- Top-of-market compensation
- Meaningful equity package
- End-to-end ownership of a core product domain
- Direct collaboration with founders
- Opportunity to lead technical direction and grow with the platform
- Work on real-time telemetry, distributed decisions, and explainability at enterprise scale