The Company

Our client is a leading global e-commerce brand expanding its engineering team to build and enhance large-scale distributed systems powering a high-volume international e-commerce platform. The engineering team works across a broad range of business and platform domains, including retail transactions, order management and fulfilment, product management, search and recommendation engineering, pricing and promotions, platform engineering, and cloud-native services on AWS. The company offers a remote / work-from-home model, world-class benefits, modern engineering practices, and the opportunity to work with advanced technologies across cloud, data, search, messaging, observability, and AI-assisted development.

The Role

Design, develop, test, and maintain scalable backend services and distributed systems for a global e-commerce platform.
Build reliable and high-performing services across domains including retail transactions, order management, fulfilment, product management, search, recommendations, pricing, and promotions.
Develop cloud-native applications and services on AWS with a strong focus on scalability, resilience, performance, security, and cost efficiency.
Work with modern distributed technologies including MongoDB, Kafka, Redis, Elasticsearch / OpenSearch, CloudWatch, and OpenTelemetry.
Build and maintain APIs, event-driven services, microservices, and backend workflows supporting business-critical platform operations.
Improve system performance, reliability, availability, observability, and operational excellence across production services.
Implement monitoring, logging, tracing, diagnostics, and alerting practices to support highly reliable production systems.
Collaborate with product managers, engineering leaders, architects, DevOps, QA, and other software engineers to deliver high-impact technical solutions.
Participate in system design discussions, technical design reviews, architecture decisions, and code reviews.
Write clean, maintainable, scalable, secure, and well-tested code aligned with modern software engineering standards.
Use modern AI-assisted engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve productivity, development speed, code quality, and documentation.
Troubleshoot and resolve complex issues across distributed systems, production environments, integrations, and cloud services.
Contribute to continuous improvement across CI/CD, automation, testing, observability, documentation, and engineering best practices.

Your Profile:

6-10 years of professional software engineering experience, ideally in backend engineering, platform engineering, distributed systems, or large-scale digital platforms.
Strong experience building scalable backend services, APIs, microservices, or event-driven systems in production environments.
Strong backend development skills in one or more modern programming languages such as Java, Kotlin, Go, Node.js, Python, TypeScript, or similar.
Hands-on experience with AWS and cloud-native application development.
Experience with MongoDB or other NoSQL databases.
Experience with Kafka or other messaging / event-streaming platforms.
Experience with Redis or similar caching technologies.
Experience with Elasticsearch / OpenSearch for search, indexing, or data retrieval use cases.
Strong understanding of system design, scalability, latency, reliability, fault tolerance, and performance optimisation.
Experience with observability, monitoring, logging, and tracing tools such as AWS CloudWatch and OpenTelemetry.
Strong understanding of CI/CD, automated testing, version control, secure coding, and agile delivery practices.
Ability to work independently in a remote / WFH environment while collaborating effectively with distributed engineering teams.
Strong problem-solving ability, ownership mindset, attention to detail, and commitment to engineering quality.

Comfortable using modern AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in a professional engineering workflow.

Apply Today

Please send your resume, in WORD format only and quote reference number Ref No DC 3470977, by clicking the apply button. Please note that only short-listed candidates will be contacted.

Robert Half International Pte Ltd. Co. Registration no.: 200612189E | EA Licence no.: 07C5595 | Dmitriy Chervinskyi EA Registration no.: R22108655

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