Fullstack Developer

SBC Performance drives scalable growth for brands by combining data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine. The company operates across eCommerce, health & wellness, education, and entertainment sectors, helping brands acquire customers and scale across global markets.

*Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ

• Design, build, and maintain frontend and backend services for the internal AdTech platform;
• Develop Angular (v12+) applications with TypeScript using reactive patterns;
• Implement and optimize state management and change detection for high-performance UI;
• Build and maintain Node.js microservices with TypeScript and RESTful APIs;
• Work with PostgreSQL (TypeORM) and Firestore (NoSQL) for data modeling and storage;
• Implement asynchronous patterns, error handling, and background data processing;
• Integrate with Google Cloud Platform (GCP) services including Cloud Functions, Firestore, Cloud Storage, and Secret Manager;
• Utilize Redis caching, message queues, and efficient pagination/filtering for large datasets;
• Collaborate with product, analytics, and QA teams to deliver robust, scalable AdTech solutions.

• 3+ Years of experience as a Full Stack Engineer;
• Experience with Node.js, Angular (v12+), and TypeScript in production environments;
• Strong knowledge of RxJS, Angular Material, and reactive forms;
• Experience with state management and change detection optimization;
• Experience with microservices architecture and RESTful APIs;
• Proficiency with PostgreSQL (TypeORM) and Firestore (NoSQL);
• Understanding of asynchronous patterns and error handling;
• Experience deploying and managing Cloud Functions;
• Knowledge of Firestore queries, indexing, and data modeling;
• Familiarity with Cloud Storage and Secret Manager;
• Docker basics for local development and testing;
• Experience with message queues (RabbitMQ or Pub/Sub);
• Redis caching and session management;
• Handling large datasets (pagination, filtering, sorting);
• Nice to have: experience with ad platform APIs (TikTok Business API, Facebook Graph API, Google Ads API), working knowledge of BigQuery, experience building worker pools and parallel processing pipelines, familiarity with CI/CD pipelines, understanding of AdTech concepts, experience with high-volume real-time data systems.

• Competitive compensation;
• Flexible working hours with start time between 9:00 — 11:00 CET;
• All necessary equipment provided;
• Paid vacation and sick leaves;
• Educational support including reimbursement of certification and training;
• Company events and internal activities;
• Open feedback and transparent direct communication.