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Engineering Manager, Core E-Commerce Platform

Job in Kuwait City, Kuwait
Listing for: Ameera Talent Solutions LTD
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Software Architect, Backend Developer, Software Project Mgr/ Lead, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 12000 - 19000 KWD Yearly KWD 12000.00 19000.00 YEAR
Job Description & How to Apply Below
Engineering Manager | Java & E-commerce Platforms

Location: Kuwait

Employment Type: Full-time | Permanent

Industry: E-commerce / Retail Technology

Recruitment Partner: Ameera Talent Solutions Ltd

About the Opportunity

Ameera Talent Solutions is recruiting an experienced Engineering Manager on behalf of a leading organisation operating in the e-commerce and digital technology sector.

This is an opportunity for a technically strong engineering leader to take ownership of business-critical backend platforms, lead high-performing development teams and influence the architecture, scalability and reliability of complex transactional systems.

We're looking for someone who has built and operated high-traffic platforms, understands the challenges of large-scale e-commerce and remains technically hands-on while developing strong engineering teams.

Key Responsibilities Engineering Leadership & Architecture
  • Lead, mentor and develop backend engineering teams and technical leads.
  • Provide technical direction across Java, Spring Boot, microservices and distributed systems.
  • Contribute actively to architecture reviews, system design and technical decision‑making.
  • Drive improvements in scalability, system performance, resilience and maintainability.
  • Identify and address technical debt, architectural risks and performance bottlenecks.
E-commerce Platforms & Scalability
  • Oversee engineering delivery across critical e-commerce capabilities, potentially including product catalogues, search, pricing, promotions, shopping carts, checkout and payments.
  • Design and optimise systems supporting high transaction volumes, concurrent users and peak shopping periods.
  • Improve API performance, caching, database efficiency and system reliability.
  • Lead production incident investigations, root‑cause analysis and sustainable technical improvements.
Engineering Excellence & Delivery
  • Establish strong engineering practices across coding, testing, CI/CD, observability and deployment.
  • Introduce measurable service reliability and performance objectives.
  • Improve release quality, delivery predictability and operational efficiency.
  • Work closely with Product, Architecture, Dev Ops, QA and Security teams.
  • Build a culture of technical ownership, accountability and continuous improvement.
AI-Assisted Engineering
  • Champion practical adoption of AI‑assisted software development.
  • Apply AI coding assistants and agentic development tools to improve engineering productivity.
  • Support responsible use of AI for code reviews, testing, debugging, documentation and refactoring.
  • Evaluate new AI development tools while maintaining strong security, code quality and engineering standards.
What We're Looking For:

Essential Experience
  • 10+ years of professional software engineering experience, including substantial backend development.
  • 3+ years in an Engineering Manager, Technical Manager, Engineering Lead or comparable leadership position.
  • Strong hands-on technical background in Java and Spring Boot
    .
  • Proven experience designing, scaling and supporting distributed systems and microservices in production.
  • Experience working with high‑traffic, transaction‑intensive applications.
  • Strong knowledge of REST APIs, event‑driven architecture, messaging, caching and database optimisation.
  • Demonstrated ability to lead engineers while remaining actively involved in architecture and technical decisions.
  • Experience improving production reliability, engineering practices and team performance.
Highly Desirable
  • Experience in e-commerce, online marketplaces, retail technology or large‑scale digital consumer platforms.
  • Kafka or equivalent messaging technologies.
  • Redis, Elasticsearch or Open Search.
  • SQL and No

    SQL databases.
  • AWS or comparable cloud platforms.
  • Docker, Kubernetes and CI/CD.
  • Observability, monitoring and…
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