Senior Backend Engineer (Node.js / MongoDB)
Planet Lisbon, Portugal
IT Services and IT Consulting · 1,001-5,000 employees
About the role
You will design, build, and scale high-performance backend services while shaping API design and data models. The role involves creating clean REST APIs for Angular frontends and integrating AI-driven features within a hybrid cloud environment.
What they look for
Requirements
The ideal candidate has strong experience with Node.js, TypeScript, and MongoDB schema design. You should also possess expertise in building scalable backend systems and designing efficient RESTful APIs.
Full description
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.
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