DC13470981 - Staff Software Engineer – Large-Scale Distributed Systems

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. This is a rare opportunity for an exceptionally talented Staff / Principal Software Engineer to take a senior technical leadership role in shaping highly scalable, resilient, and commercially critical platform systems. 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

• Lead the design and delivery of large-scale distributed systems supporting a global e-commerce platform.
• Own and influence architecture decisions across backend services, platform engineering, event-driven systems, cloud-native services, and data-intensive applications.
• Build and scale core platform capabilities across retail transactions, order management, fulfilment, product management, search, recommendations, pricing, promotions, and related e-commerce domains.
• Provide hands-on technical leadership while remaining actively involved in system design, coding, code reviews, troubleshooting, and production optimisation.
• Design resilient, fault-tolerant, observable, and high-performance services using AWS, MongoDB, Kafka, Redis, Elasticsearch / OpenSearch, CloudWatch, and OpenTelemetry.
• Define engineering standards for scalability, reliability, performance, security, maintainability, testing, and operational excellence.
• Partner with engineering leadership, product teams, architects, DevOps, data teams, and business stakeholders to translate business needs into scalable technical solutions.
• Guide teams on system design, service boundaries, API design, event-driven patterns, data modelling, caching strategies, search architecture, and distributed systems trade-offs.
• Drive improvements across observability, monitoring, alerting, tracing, incident response, and production support practices.
• Mentor senior and mid-level engineers, helping them improve technical depth, architectural thinking, code quality, and delivery discipline.
• Champion modern software engineering practices including automated testing, CI/CD, infrastructure automation, technical documentation, and secure development.
• Professionally leverage AI-assisted engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve engineering productivity, technical documentation, code review quality, and development velocity.
• Identify technical debt, platform risks, performance bottlenecks, and scalability constraints, then drive pragmatic and sustainable solutions.
• Contribute to long-term engineering strategy, platform roadmap, and technology selection.

Your Profile

• 10–15 years of professional software engineering experience, with strong experience designing and building large-scale distributed systems.
• Proven experience as a Staff Engineer, Principal Engineer, Lead Engineer, Senior Backend Engineer, Platform Engineer, or similar senior technical role.
• Strong hands-on backend engineering experience in one or more modern programming languages such as Java, Kotlin, Go, Node.js, Python, TypeScript, or similar.
• Deep understanding of distributed systems, microservices, event-driven architecture, API design, data consistency, fault tolerance, and scalability patterns.
• Strong hands-on experience with AWS and cloud-native system design.
• Production experience with MongoDB or other NoSQL databases.
• Strong experience with Kafka or similar event-streaming / messaging technologies.
• Experience with Redis or similar caching / in-memory data platforms.
• Experience with Elasticsearch / OpenSearch for search, indexing, data discovery, or recommendation-related use cases.
• Strong understanding of observability, monitoring, tracing, logging, and production diagnostics using CloudWatch, OpenTelemetry, or similar tools.
• Experience designing highly available, low-latency, resilient systems operating at significant scale.
• Strong understanding of security, reliability engineering, CI/CD, automated testing, and DevOps collaboration.
• Ability to influence technical direction across teams without relying only on formal authority.
• Strong mentoring capability with the ability to raise engineering standards across a high-performing team.
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• High proficiency with modern AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar tools, with the ability to apply them responsibly in a professional engineering environment.

Apply Today

Please send your resume, in WORD format only and quote reference number DC13470981, by clicking the apply button. Please note that only short-listed candidates will be contacted.

EA Licence no.: 07C5595 | Dmitriy Chervinskyi EA Registration no.: R22108655