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Back-end Engineer at Scale Army, Remote

The Backend Engineer will build data-driven systems, scraping pipelines, API integrations, data ingestion services, and backend components for an LLM-powered engine. This role requires 4 – 5+ years of backend experience, strong data engineering instincts, and familiarity with Node.js, AWS, and Next. js-powered backends.

Key Responsibilities

Data Extraction & Web Scraping

• Build systems to scrape external websites for structured and unstructured data.
• Automate data pipelines for ingestion, cleaning, and storage.
• Ensure scrapers are scalable, resilient to layout changes, and compliant with applicable policies.

API Integrations & Ingestion Systems

• Build integrations with third-party APIs (KYC/KYB, fraud, merchant data, etc.).
• Handle authentication, retries, rate limits, and robust error handling.
• Normalize and store data efficiently for downstream systems.

LLM-Based System Development

• Support the development of internal LLM engines for automation, fraud scoring, or data analysis.
• Build backend components that feed structured data to AI models.
• Collaborate with machine learning teams on data preparation.

Backend & Infrastructure Development

• Utilize Node.js and AWS to develop and deploy scalable, high-performance backend services.
• Design efficient data models, manage relational and NoSQL databases, and optimize queries for data consistency and performance.
• Architect and implement robust data pipelines to ingest, process, and store large datasets.
• Collaborate with frontend teams to integrate backend services with Next.js applications for a seamless full-stack experience.

Qualifications

Experience

• 4–5+ years of backend engineering experience.
• Strong experience with Node.js, AWS, REST APIs, and backend architecture.
• Experience scraping websites and handling large-scale data ingestion.
• Experience storing, normalizing, and querying large datasets.

Skills

• Experience integrating with fintech, e-commerce, or payment platforms.
• Exposure to LLM integrations or AI model pipelines.
• Knowledge of Python for data-heavy tasks is a plus (not mandatory).

What Success Looks Like

• Reliable scraping and ingestion systems delivering accurate data.
• Stable API integrations powering core business logic.
• Backend systems that scale efficiently with large data volumes.

Opportunity

Work in a deeply technical environment, developing data infrastructure and AI-powered backend systems that support global commerce expansion. Apply now!

Application Process:

To be considered for this role these steps need to be followed:

• Fill in the application form
• Record a video showcasing your skill sets