Staff Backend Engineer - Remote

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Job details

B2C startup is looking for a Senior Backend Engineer with Data Engineering expertise to join their growing team in San Fran!

This Jobot Job is hosted by Sydney Weaver

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary $165,000 - $225,000 per year

A Bit About Us

Series-A startup is looking for a Senior or Lead-level Backend Engineer to join their growing team! Their team includes veterans from FAANG and successful Bay Area tech startups and they are backed by the same VC firms that back Robinhood, Doordash, & Pinterest. Their SaaS platform is revolutionizing the way information is shared and currently used by startups and consumers alike. They value creative problem-solvers who thrive in fast-paced environments and have experience working both in startups and large tech companies.

Why join us?

Great Benefits, Remote, Equity, Growth Opportunity, Great Culture, PTO, 401K plus match, and much more!

Job Details

Are you an experienced Backend Engineer with a strong focus on data-driven systems? A well-funded and dynamic tech company is seeking a Senior or Staff-level Backend Engineer to drive backend architecture and contribute to strategic planning of data infrastructure, search capabilities, and recommendation systems. This role is ideal for someone who thrives in a collaborative environment, has a passion for working on complex data challenges, and is eager to make a direct impact.

Their ideal candidate has experience working in at both a startup and larger tech company and is eager to apply those experiences to build something from scratch using what they know. The role offers advancement to lead or manager level (depending on the candidate). If you are looking for a collaborative environment where your expertise will make a significant impact, please apply!

Responsibilities
• Greenfield development as well as improving current platform architecture, backend services, APIs, and systems written in TypeScript & Node
• Design, optimize, and implement efficient data structures in MongoDB and Elasticsearch
• Enhance search capabilities and recommendation systems 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
• Contribute to architectural discussions, bringing innovative ideas and solutions to the team

Requirements
• 6-12 years of experience and track record of shipping high-quality products and features at scale
• Recent production experience building backend services and APIs using Node.js & TypeScript
• Experience with building API's 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
• Previous experience at both startup environments and larger tech companies like Twitter or Meta
• Demonstrated ability to design and build systems from scratch including data infra

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

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