Senior Backend Engineer with Data Engineering Expertise
4 weeks ago
A well-funded Series-A startup, backed by renowned VC firms, is seeking a Senior or Lead level Backend Engineer with experience setting up data and backend systems to join their dynamic team. Their team includes veterans from FAANG and successful Bay Area tech startups. They are revolutionizing the landscape for information sharing with their innovative B2C platform. They value creative problem-solvers who thrive in fast-paced environments and have experience working both in startups and large tech companies.
Key Responsibilities:
- Design, develop, and maintain robust backend services, APIs, and systems written in TypeScript & Node.
- Architect and optimize data pipelines to manage and process large-scale data efficiently.
- Collaborate with cross-functional teams to integrate diverse services and data sources.
- Implement and manage containerized applications using Docker and Kubernetes for scalable solutions.
- Ensure high performance, security, and availability of backend infrastructure.
- Diagnose and resolve complex issues in both development and production environments.
Requirements:
- Years of experience as a Backend Engineer, preferably with recent work building backend services and APIs using.
- Experience with building APIs end-to-end and event-driven software or Microservices.
- Experience with setting up data infrastructure, ETL, and large-scale data systems and various tools such as MongoDB.
- Expertise in AWS cloud services, Terraform was a big plus.
- Hands-on experience with Docker and Kubernetes for container orchestration.
- Excellent problem-solving skills and the ability to work both independently and collaboratively.
- Strong communication skills and the ability to contribute to architectural decisions.
Preferred Qualifications:
- Previous experience at both startup environments and larger tech companies like Twitter or Meta.
- Demonstrated ability to design and build systems from scratch.
- Experience building data infrastructure from scratch at a fast-growing startup with an understanding of data modeling, ontologies, and knowledge graphs.
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