Backend Engineer developing scalable APIs and services for e-commerce logistics startup. Collaborating with design teams and providing technical leadership in backend architecture.
Responsibilities
Design and create services and system architecture for your projects, and contribute and provide feedback to other team members via technical design sessions.
Collaborate with the front-end engineers in building, and shipping scalable APIs to be consumed by our client-facing solutions.
Build and maintain third-party API integrations, fetching, and processing of data.
Work with the product and design teams to discuss the requirements of the value teams (including business, marketing, sales, and logistics operations), understand end-user requirements, formulate use cases, and then translate them into usable and scalable features.
Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice). Mentor and empower other engineers around you.
Develop and maintain high-performance and scalable backend systems that can handle high traffic volumes, while ensuring data integrity, security, and reliability.
Continuously monitor and optimize the performance of backend systems, and implement appropriate measures to ensure optimal system uptime and availability.
Communicate effectively with stakeholders, including non-technical team members, to ensure that they understand the technical decisions being made and how they will impact the product.
Drive innovation and contribute to the growth of our company vision by creating new products and collaborating closely with the product and design teams.
Requirements
1-3 years of experience as a Backend Software Engineer.
A bachelor’s degree in computer science or related fields is preferred.
Excellent programming skills in JavaScript, Node.js, Express framework, and related technologies.
Experience managing NoSQL databases/search engines such as Redis, MongoDB, Elasticsearch, etc.
Experience building and implementing CI/CD pipelines.
Experience with A/B testing and canary deployments.
Knowledge of GCP, AWS, or other similar cloud providers.
Knowledge of container technology (Docker, Kubernetes).
Demonstrated expertise in managing a broad system with multiple integrated components.
Ability to jump into legacy code and understand it quickly.
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