Engineering Manager | Core E-commerce Platform

Ameera Talent Solutions

Kuwait

On-site

KWD 18,000 - 36,000

Full time

8 days ago

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Job summary

A senior Engineering Manager for the Core e-commerce platform in Kuwait is sought to lead backend teams, shape architecture, and own reliable delivery for high-traffic services.

The role requires 10+ years in software engineering with 3+ years in leadership, strong Java/Spring Boot skills, cloud-native infra, and a proven record of scalable systems, performance tuning and AI-assisted development.

Qualifications

10+ years of software engineering with hands-on backend experience.
3+ years in Engineering Manager, Tech Lead or equivalent.
Experience with large-scale, high-traffic transactional platforms.
Strong Java and Spring Boot expertise.
Fluent English, spoken and written.
Experience with microservices, event-driven architecture and data modeling.

Responsibilities

Provide technical leadership and people management for backend teams.
Set architecture direction across Java distributed systems and microservices.
Drive scalability, performance, resilience, security and maintainability.
Define service boundaries, APIs, async workflows, caching and data models.
Promote pragmatic delivery with platform quality and long-term maintainability.
Establish measurable SLOs and improve latency, throughput and reliability.
Lead production ownership, incidents, and permanent corrective actions.
Mentor engineers and grow technical leaders; collaborate with product and security.

Skills

Java

Spring Boot

Cloud-native

Distributed systems

Microservices

Kafka

Redis

OpenSearch/Elasticsearch

AWS

Docker

Kubernetes

CI/CD

Education

Bachelor’s degree in a technical discipline

Master’s degree (advantage)

Tools

Kafka

Redis

OpenSearch/Elasticsearch

AWS

Docker

Kubernetes

CI/CD

Job description

Kuwait | Engineering leadership | Core e-commerce platform

Engineering Manager
Core e-commerce platform (Java)

A well-known, high-growth e-commerce company operating in Kuwait, serving a large customer base through high-traffic web and mobile platforms.

Level Senior engineering leadership

Experience 10+ years, 3+ leading

Stack Java, Spring Boot, cloud-native

A hands-on leader who combines people leadership, architecture depth, operational excellence and AI-assisted engineering. Each Engineering Manager owns a defined set of e-commerce domains.

Domains you will own

High-volume, customer-facing. Catalog to payment.

Discovery

Catalog, Search and Discovery

Large catalogs, product attributes, search performance and relevance.

Commerce

Pricing, Promotions and Cart

Pricing accuracy, campaign rules, cart persistence and consistency.

Transaction

Checkout and Payments

Checkout concurrency, payment reliability, reconciliation and distributed transactions.

Integration

Customer, Session and Inventory

Session services, inventory availability and order initiation with downstream systems.

Key responsibilities

Technical leadership, reliability and people, in that order of daily weight.

Engineering and technical leadership

Lead and develop high-performing backend teams building large-scale e-commerce services.
Give technical direction across Java distributed systems and microservices. Take part in architecture and system design.
Challenge designs for scalability, performance, resilience, security, maintainability and cost.
Guide service boundaries, APIs, async workflows, event-driven systems, caching and data models.
Balance pragmatic delivery with platform quality. Avoid over-engineering and short-term shortcuts.

Scale, performance and reliability

Set measurable SLOs for critical services. Improve latency, throughput, database and cache efficiency.
Drive load, stress and capacity testing. Build resilience through timeouts, retries, circuit breakers, idempotency and replay.
Make teams own their services in production, including on-call and peak campaign periods.
Lead or take part in major incident investigation and permanent corrective actions.
Raise standards across design, testing, deployment, documentation, security and observability.
Build a code-review culture where every review improves quality.
Strengthen unit, integration, contract, performance and end-to-end test coverage on critical flows.
Run clear engineering metrics: deployment frequency, lead time, change failure rate, MTTR, defects, reliability and debt.

People and delivery

Coach engineers and technical leads. Grow leaders so decisions do not depend on one person.
Run performance conversations and development plans. Build succession plans for critical roles.
Take an active part in hiring and hold a high technical bar.
Partner with Product, QA, Architecture, SRE, Data and Security. Challenge requirements that add risk without customer value.

AI-first engineering leadership

The team already runs AI agents for code review and production monitoring. Leaders are expected to be strong practitioners.

Use AI coding assistants and agentic workflows daily for prototyping, investigation, refactoring, testing and documentation.
Understand LLMs, MCP-based tools and repository-aware agents. Keep security, architecture and human review intact.
Coach engineers on responsible AI-assisted development.
Measure AI adoption by productivity and quality gains, not tool usage.

Required experience

10+ years of software engineering, with significant hands‑on backend experience.
3+ years as Engineering Manager, Technical Manager, Engineering Lead or equivalent.
Large‑scale, high‑traffic transactional platforms. E‑commerce, marketplace or retail technology strongly preferred.
Strong Java and Spring Boot.
Fluent English, spoken and written.
Microservices, distributed systems, REST, event‑driven architecture, messaging, caching, database design and search.
Kafka or similar, Redis, OpenSearch or Elasticsearch, SQL and NoSQL.
AWS or comparable cloud, Docker and Kubernetes, CI/CD and modern observability and APM.
Real production examples with numbers: catalog scale, search relevance, cache invalidation, campaign peaks, cart and checkout, payment reconciliation, P95 and P99 latency, root‑cause analysis.
Bachelor’s degree in a technical discipline or equivalent practical experience. Master’s is an advantage.

Specific technology combinations matter less than proven ability to design and operate large‑scale production systems.

The ideal profile

Technically credible with senior engineers. Goes deep without micromanaging.
Decides with data and challenges architecture constructively.
Understands customer experience and backend consequences. Simplifies complex systems.
Builds strong engineers and future technical leaders. Communicates clearly with Product and the business.

Year one, measured

What the first twelve months should show.

Peak

Campaigns without a critical incident

Peak campaigns delivered on owned services.

Stability

Better change failure rate and MTTR

Improved against the starting baseline.

Ownership

An SLO, dashboard and owner per critical service

Every critical service has a named owner.

Succession