Senior Backend Engineer (Node.js / MongoDB)

Posted 22 Hours Ago
Be an Early Applicant
Lisbon, PRT
In-Office
Senior level
Information Technology • Consulting
The Role
Designs, builds, and scales high-performance backend services using Node.js, MongoDB, and REST APIs for Angular applications. Responsibilities include data modeling, query optimization, caching, scalable system architecture, API performance, and AI-enabled data integrations. The role develops stateless services, supports analytics and machine learning use cases, and contributes to AI, LLM, data pipeline, and RAG-style capabilities in a hybrid cloud environment.
Summary Generated by Built In

About Planet


Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers.

We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.

Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.


Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.



Role Overview

We are looking for a Senior Backend Engineer to design, build, and scale high-performance backend services. You will shape API design, data models, and system architecture to support modern applications and evolving workloads. This role focuses on building clean REST APIs for Angular frontends, operating in a hybrid cloud environment, and integrating AI-driven features and data workflows where relevant.


What you will do


  • Backend Development

Design and develop RESTful APIs using Node.js

Build backend services optimized for Angular frontend consumption

Ensure consistency in API structure and response formats

Write clean, maintainable, and testable code


  • Data Modeling & Storage

Design efficient MongoDB schemas aligned with application and data usage patterns

Optimize queries, indexing strategies, and aggregation pipelines

Structure data models to support analytics and AI use cases


  • Scalability & Performance

Architect systems for high throughput and low latency

Identify and resolve performance bottlenecks

Implement caching strategies (Redis or similar)

Design stateless services for horizontal scalability


  • API Design (REST Focus)

Design predictable, frontend-friendly REST endpoints

Optimize payloads for Angular services and UI performance

Implement pagination, filtering, and consistent error handling


  • AI & Data Awareness

Support integration of AI-powered features (insights, automation, recommendations)

Expose clean, structured data usable by AI/ML and LLM-based systems

Contribute to pragmatic use of data pipelines or AI services


Who you are

  • Core Skills : strong experience with Node.js (TypeScript preferred), solid expertise in MongoDB (schema design, indexing, aggregation), strong experience designing REST APIs
  • System & Data Design : Experience building scalable backend systems, understanding of data models supporting AI‑enabled applications
  • Nice to Have : experience integrating AI/ML or LLM-based services, knowledge of data pipelines or RAG-style architectures, high availability systems

Why Planet:

Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.

Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. 


We would love to hear from you – Apply now.


At Planet, we embrace a hybrid work model, with three days a week in the office.
 

Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.

Skills Required

  • Strong experience with Node.js
  • Solid expertise in MongoDB, including schema design, indexing, and aggregation
  • Strong experience designing REST APIs
  • Experience building scalable backend systems
  • Understanding of data models supporting AI-enabled applications
  • Experience with TypeScript
  • Experience integrating AI/ML or LLM-based services
  • Knowledge of data pipelines or RAG-style architectures
  • Experience with high-availability systems

Planet (weareplanet.com) Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Planet (weareplanet.com) and has not been reviewed or approved by Planet (weareplanet.com).

  • Fair & Transparent Compensation — Company materials indicate salaries are benchmarked to market throughout the year, suggesting a structured approach to aligning pay with role value. Feedback suggests some roles can negotiate competitive offers at hire.

Planet (weareplanet.com) Insights

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The Company
HQ: San Francisco, CA
2,648 Employees
Year Founded: 1985

What We Do

Planet is a leading global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our Payments, Software, and Tax Free solutions every minute of every day. Planet empowers its customers to deliver amazing customer experiences by combining payments and technology in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in over 120 markets

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