Senior Cloud & Data Centre Delivery Engineer

Tencent; Singapore; On-site; SGD 260,000 - 360,000; Full time

Job summary

Tencent's AI Compute Centre within the Overseas IT department leads the full lifecycle of AI infrastructure clusters, from design to delivery and operations. You will translate business needs into concrete infrastructure plans and own delivery milestones, while coordinating with suppliers and internal teams across regions.

You will work with compute, networking, storage, facilities, and security specialists, challenging assumptions and driving issues to resolution to ensure operational handover

Qualifications

• 10+ years experience in infrastructure architecture, network engineering, or service management.
• Strong data centre or enterprise networking experience with capacity planning.
• Knowledge of TCP/IP, L2/L3 networking, VLANs, BGP, and OSPF.
• Experience delivering networks across data centres, cloud environments, or multiple sites with carriers/colocation providers.
• Ability to review test plans and resolve connectivity or failover gaps.
• Experience with data centre migrations or site deployments across multiple teams.
• Experience managing suppliers through design reviews, milestones, acceptance, and handover.
• Ability to assess infrastructure proposals across compute, network, storage, availability.
• Strong documentation and stakeholder communication.

Responsibilities

• Translate demand into infrastructure requirements and acceptance criteria.
• Lead network design and delivery reviews across data centre fabric and WAN.
• Coordinate network equipment vendors, carriers, and colocation partners.
• Drive data centre readiness including rack space, power, and cooling considerations.
• Own integration and governance through installation, testing, and sign-off.
• Maintain integrated plans, risks, and supplier action trackers.
• Communicate technical risks and schedule impacts to engineers and stakeholders.

Skills

Infrastructure architecture

Network engineering

Technical delivery

Service management

Data centre networking

TCP/IP

BGP

OSPF

Vendor management

Stakeholder communication

Job description

The AI Compute Centre sits within Tencent's Overseas IT department, acting as the bridge between internal AI infrastructure demand and the external resources that fulfil it. We play key roles in the full lifecycle of AI infrastructure clusters — from requirement gathering and capacity planning, through architectural design and development, to delivery, operations, and DevOps — across regions worldwide.

About the Role

You will lead the cloud/edge cloud infrastructure projects you are responsible for delivering. Your focus is to turn business and technical requirements into deliverable plans, hold suppliers accountable, coordinate data centre readiness, and ensure that new capacity is accepted and handed over to operations with clear ownership.

This is a cross-functional role. You will work with specialist engineers on compute, networking, storage, facilities, and security decisions; you are not expected to personally configure every system or run every benchmark. You should, however, be able to challenge assumptions, identify gaps between vendor commitments and delivered outcomes, and drive issues to resolution.

What You Will Do

• Translate demand into infrastructure requirements. Work with AI business and platform teams to define compute capacity, network bandwidth and latency, connectivity, data access, scalability, availability, and operational needs. Convert these into supplier requirements, evaluation criteria, delivery milestones, and acceptance criteria.
• Lead network design and delivery reviews. Review data centre fabric, inter-data-centre and WAN connectivity, routing, IP planning, network segmentation, resilience, and expansion plans with internal architects and suppliers. Ensure designs address both AI workload requirements and day-to-day operability.
• Manage network providers and delivery dependencies. Coordinate network equipment vendors, carriers, colocation partners, and system integrators on circuits, cross-connects, cabling, configuration handoffs, implementation windows, and fault escalation. Track responsibilities and resolve gaps between suppliers.
• Drive data centre readiness. Coordinate rack space, power, cooling, physical access, cabling, carrier connectivity, and installation prerequisites. Identify site or network dependencies that could delay cluster deployment.
• Own integration and acceptance governance. Coordinate compute, network, storage, and platform teams through installation, integration, testing, remediation, and sign-off. Require evidence for connectivity, bandwidth, latency, failover, and agreed cluster-level outcomes—not just confirmation that equipment has been installed.
• Manage delivery and service accountability. Maintain integrated plans, risks, decision logs, and supplier action trackers. Define handover documentation, monitoring expectations, incident escalation, change procedures, support boundaries, and service review cadence.
• Communicate technical risks clearly. Explain design trade-offs, unresolved defects, capacity constraints, and schedule impacts to both engineering teams and business stakeholders.

What We Are Looking For

Must-haves

• Substantial experience in infrastructure architecture, network engineering, technical delivery, or service management, typically 10+ years in relevant roles.
• Strong data centre or enterprise networking experience, with the ability to review network topology, routing, connectivity, redundancy, and capacity plans—not only manage project schedules.
• Working knowledge of TCP/IP, L2/L3 networking, VLANs, routing protocols such as BGP and OSPF, and common data centre network design principles.
• Experience delivering or operating networks across data centres, cloud environments, or multiple sites, including coordination with carriers, colocation providers, and network equipment vendors.
• Ability to review network test plans and evidence, identify gaps in connectivity or failover, and work with engineers and suppliers to resolve issues.
• Experience with a data centre migration, site deployment, colocation delivery, or comparable infrastructure transition involving multiple technical teams and external providers.
• Demonstrated experience managing suppliers through design review, delivery milestones, acceptance, escalation, and production handover.
• Ability to assess infrastructure proposals across compute, network, storage, availability, and operational support, while engaging specialists for detailed validation.
• Strong documentation and stakeholder communication skills.

Nice to Have

• Experience evaluating or sourcing AI server capacity, AI infrastructure services, or large-scale compute platforms.
• Deeper experience with Spine-Leaf/Clos fabrics, EVPN-VXLAN, ECMP, MLAG, or inter-data-centre connectivity.
• Familiarity with InfiniBand, RoCE, RDMA, GPU cluster network design, high-performance storage, or cluster-level performance testing such as NCCL.
• Experience with high-density data centre deployments, including power and cooling constraints.
• Exposure to supplier SLAs, commercial evaluation, cost optimisation, disaster recovery, or service governance.
• Relevant networking, cloud, AI infrastructure, project management, or IT service management certifications.