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Salla logo

Senior Backend Engineer - Checkout

Salla
Posted 2 weeks ago
🇸🇦Saudi Arabia🏠Remote📁Engineering & Development
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We are looking for a Senior Backend Engineer - Checkout to join our engineering team focused on Fintech, Checkout, and Promotions. You will design, build, and scale highly available backend systems that power mission-critical payment experiences, checkout flows, promotions, loyalty, pricing, and financial services. This role is ideal for engineers who enjoy solving complex distributed systems problems, building high-performance services, and designing software that operates reliably at scale. You'll work closely with Product, Design, Data, and Engineering teams to deliver resilient, observable, and maintainable systems that directly impact millions of transactions. We value engineers with strong software engineering fundamentals who embrace modern development practices, including leveraging AI to improve engineering productivity, software quality, testing, debugging, and delivery speed. Responsibilities Design, build, and operate scalable backend services supporting Fintech, Checkout, Promotions, Loyalty, and Payment systems. Develop clean, maintainable, and high-performance production code with readability and long-term ownership in mind. Design and evolve RESTful APIs and integrations with internal platforms, payment gateways, and third-party services. Build reliable distributed systems capable of handling high traffic, failures, and asynchronous workloads. Drive architectural decisions with scalability, resilience, maintainability, and operational excellence in mind. Optimize application performance across services, databases, caching layers, queues, and background workers. Participate in architecture discussions, technical design reviews, RFCs, and engineering planning. Ensure services are production-ready through monitoring, logging, alerting, testing, and observability best practices. Write comprehensive unit and integration tests while maintaining high engineering standards through code reviews. Leverage AI-assisted engineering tools responsibly to accelerate development, debugging, testing, documentation, and code quality. Mentor junior and mid-level engineers through technical leadership, design discussions, and engineering best practices. Contribute throughout the full software development lifecycle, from design through deployment and production support. Continuously improve system reliability, developer experience, and engineering standards across the team. 6+ years of professional software engineering experience building production backend systems. Strong experience building scalable backend services in at least one modern language such as PHP, Go, Java, or C#. Experience with PHP and Laravel is preferred but not required. Strong understanding of distributed systems fundamentals, including consistency, availability, concurrency, fault tolerance, idempotency, asynchronous processing, messaging, and caching. Experience designing and operating high-scale, highly available backend systems. Proven ability to write clean, maintainable, efficient, and high-performance production code. Strong understanding of software engineering principles, including SOLID, design patterns, clean architecture, and domain-driven design concepts. Experience designing RESTful APIs and integrating with third-party platforms and payment providers. Strong SQL knowledge with experience designing and optimizing MySQL or PostgreSQL databases. Experience with caching technologies, queues, background workers, and performance optimization. Experience writing automated tests, participating in code reviews, and working within modern CI/CD pipelines. Comfortable using AI-assisted development tools to improve productivity, software design, implementation, testing, debugging, documentation, and code reviews. Preferred Qualifications Experience building Fintech, Payments, Checkout, Loyalty, Pricing, Promotions, or other high-volume transactional systems. Experience with event-driven architectures and distributed messaging systems. Experience with Docker, Kubernetes, cloud platforms (AWS, GCP, or Azure), and Infrastructure as Code. Experience with observability platforms, distributed tracing, metrics, and production monitoring. Experience working within microservices or service-oriented architectures. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is a plus.

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