Service Delivery Manager (Technical & Cloud Services)

eCloudvalley Technology (HK) Limited

Hong Kong

On-site

HKD 900,000 - 1,300,000

Full time

11 days ago

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Benefits offered by this job

Five-day work week
Performance-based bonuses
Medical coverage
Dental coverage
L&D program and on-the-job training
Team-building events

Job summary

eCloudvalley Technology (HK) Limited is seeking a Service Delivery Manager (Technical & Cloud Services) to own the client relationship as the primary technical contact and coordinate resources across engineering, solutions architecture, and operations.

You will maintain a deep understanding of each client's architecture and business context, review monitoring dashboards, drive incident resolution, and lead regular service reviews with clients to align outcomes with best practices and service

Qualifications

  • 3–5+ years in client-facing technical roles within managed services, consulting, or IT operations.
  • Strong working knowledge of AWS services and cloud architecture concepts.
  • Fluent in English, Cantonese, and Mandarin.
  • Strong written and verbal communication skills for executives and technical teams.
  • Experience coordinating cross-functional teams to deliver outcomes.
  • Demonstrated ability to use AI agents (e.g. coding assistants, workflow automation) in day-to-day work.

Responsibilities

  • Own the client relationship as the primary technical point of contact.
  • Maintain deep understanding of each client's architecture, business context, and operational patterns.
  • Review monitoring dashboards regularly, identify issues proactively, and drive resolution.
  • Coordinate engineers, architects, and specialists to deliver on change requests and incident response.
  • Chair regular service review meetings, walk through reports and recommendations with clients.
  • Lead incident coordination — manage communication, escalation, and post-incident analysis.
  • Identify gaps against AWS Well-Architected Frameworks, CIS benchmarks, and recommend improvements.
  • Maintain client documentation — architecture diagrams, runbooks, decision history, and client profiles.
  • Mentor junior TAMs and service delivery specialists on client engagement and best practices.

Skills

Client-facing communication
Cross-functional coordination
Cloud architecture knowledge
AI tools familiarity
Documentation skills

Education

Bachelor's degree or diploma in Business, Science, Engineering, or relevant field

Tools

AWS
Azure
GCP

Job description

Service Delivery Manager (Technical & Cloud Services)

eCloudvalley is a leading cloud services provider, recognized as the first AWS Premier Consulting Partner in Greater China Region. Since 2013, they've been helping businesses accelerate digital transformation with comprehensive cloud solutions, including consultation, migration, and managed services. Headquartered in Taiwan, eCloudvalley has a global presence, offering services in cloud infrastructure, information security, IoT, AI, and big data analytics.

You are the primary technical contact for our managed service clients. You bridge the gap between clients and our engineering team — understanding each client's business context, technical architecture, and operational needs so the right things get done at the right time.

You will not be expected to perform hands-on engineering. Our cloud engineers, solutions architects, and domain specialists handle implementation. Your job is to know the client's environment deeply, coordinate the right resources, and drive continuous improvement.

As a senior member of the team, you will also mentor junior TAMs and service delivery specialists — helping them develop client management skills, technical depth, and operational maturity.

Five-daywork week

Performance-basedbonuses

Comprehensivemedicalanddentalcoverage

L&Dprogramandon-the-jobtrainingopportunities

Variousteam-buildingactivitiesandcompanyevents

Own the client relationship as the primary technical point of contact

Maintain deep understanding of each client's architecture, business context, and operational patterns

Review monitoring dashboards regularly, identify issues proactively, and drive resolution before clients notice

Coordinate engineers, architects, and specialists to deliver on change requests and incident response

Chair regular service review meetings, walk through reports and recommendations with clients

Lead incident coordination — manage communication, escalation, and post-incident root cause analysis

Identify gaps against best practices — Well-Architected Frameworks (AWS, Azure), CIS benchmarks — and recommend improvements

Maintain client documentation — architecture diagrams, runbooks, decision history, and client profiles

Identify client needs that could benefit from additional services or architectural improvements

Mentor junior TAMs and service delivery specialists on client engagement, technical knowledge, and operational best practices

3-5 years+ experience in client-facing technical roles within managed services, consulting, or IT operations Strong working knowledge of AWS services and cloud architecture concepts

Fluent in English, Cantonese, and Mandarin

Strong written and verbal communication skills, comfortable presenting to both technical teams and executives

Experience coordinating cross-functional teams to deliver outcomes

Bachelor's degree or diploma in Business, Science, Engineering, or relevant field

Demonstrated ability to use AI agents (e.g. coding assistants, workflow automation, research tools) in day-to-day work — personal or professional context

Experience with Azure or GCP in addition to AWS

Working experience in enterprise environments with full ITSM practice, particularly change management (CAB process, change planning, risk assessment, post-implementation review) and incident management

AWS Certified Solutions Architect – Associate, AWS Certified CloudOps Engineer – Associate, ITIL v4 Foundation, or Project Management Certifications — candidates without current certifications are supported to obtain them on the job

Demonstrated ability to use AI agents (e.g. coding assistants, workflow automation, research tools) in day-to-day work — personal or professional context

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