4 months ago
Base Salary
$150k - $190k/yr
Responsibilities
- Design, build, and own internal platforms and infrastructure used by science, ML, and automation teams.
- Develop and maintain backend services and APIs using Python (FastAPI).
- Build and maintain fullstack internal applications, including web frontends and mobile applications.
- Design and operate cloud infrastructure on GCP.
- Manage infrastructure-as-code and deployment pipelines.
- Build and evolve scalable data platforms using BigQuery, Python, and Spark.
- Implement and maintain service-oriented and event-driven architectures.
- Partner with ML engineers to support model deployment and production integration.
- Establish and maintain observability, reliability, and security across services.
- Improve developer experience through better abstractions, tooling, and documentation.
- Proactively identify and address scalability, performance, and operational risks.
Requirements
- Bachelor’s degree in a technical field (Computer Science, Engineering, or similar).
- 5+ years of experience as a Fullstack, Platform, Backend, or Infrastructure-oriented Engineer.
- Strong backend experience with Python and frameworks such as FastAPI.
- Hands-on experience operating cloud infrastructure on GCP or AWS.
- Experience with infrastructure-as-code, CI/CD pipelines, and production deployments.
- Experience designing and operating service-oriented and event-driven systems.
- Familiarity with messaging and streaming platforms like Pub/Sub and Kafka.
- Strong systems thinking across product, platform, data, and infrastructure layers.
- Comfortable working independently in a cross-functional, distributed environment.
- Clear communicator who can collaborate effectively with science, ML, and automation teams.
Tech Stack
Apache KafkaApache SparkAWSFastAPIGoogle BigQueryGoogle Cloud PlatformPythonReactReact NativeTerraform
