Junior Solution Architect

RMZ; Navi Mumbai; On-site; INR 700,000 - 1,400,000; Full time

Job summary

RMZ in Navi Mumbai seeks a DC Infrastructure Engineer with 2–5 years of experience in data centre design and pre‑sales support for DC/IT infrastructure. You will contribute to requirement gathering, rack layouts, BOMs and proposals, while coordinating with the DC team on design feasibility and costs.

You will gain exposure to GPU/AI networking, InfiniBand vs Ethernet concepts, and cooling strategies, with opportunities to build robust density models and reference configurations.

Qualifications

• 2–5 years in data centre design, MEP consulting, colocation operations engineering, or pre‑sales support for DC/IT infrastructure.
• Working knowledge of DC fundamentals: power chains (UPS, PDU, redundancy concepts), cooling approaches (CRAC/CRAH, chilled water, awareness of liquid cooling), rack and space planning.
• Foundational exposure to HPC/AI infrastructure: understanding of GPU server platforms and high-performance networking concepts (InfiniBand vs Ethernet/RoCE), with genuine motivation to specialise in AI data centre solutioning.
• Proficiency with AutoCAD/Revit or similar layout tools; strong Excel for capacity and BOM modelling.
• Clear technical documentation and presentation skills (PowerPoint/Word); comfort in client‑facing settings.
• Bachelor’s degree in Electrical, Mechanical, Electronics or related engineering discipline.

Responsibilities

• Participate in client requirement-gathering sessions with hyperscalers, neo clouds, BFSI, GCCs and AI-native companies; capture and structure technical requirements.
• Prepare rack layouts, space plans, single-line concepts and capacity/phasing models under senior guidance, including high-density GPU zones.
• Support HPC/AI solution design work: GPU cluster bills of material, InfiniBand/Ethernet fabric cable schedules, and power/cooling load calculations for dense racks.
• Build and maintain BOMs, solution templates and pricing inputs for proposals; draft sections of technical proposals and RFP/RFI responses.
• Coordinate with the DC Infrastructure team on design feasibility, costing inputs and site data.
• Maintain the solution engineering knowledge base: standard designs, density and cooling reference configurations, competitor benchmarks.
• Support site visits, client walkthroughs and technical Q&A.

Skills

Data center design

DC fundamentals

GPU HPC awareness

AutoCAD/Revit

Excel modelling

Technical documentation

Presentation skills

Client-facing

Education

Bachelor’s degree in Electrical, Mechanical, Electronics or related engineering

Tools

AutoCAD

Revit

Job description

• Participate in client requirement-gathering sessions with hyperscalers, neo clouds, BFSI, GCCs and AI-native companies; capture and structure technical requirements.


• Prepare rack layouts, space plans, single-line concepts and capacity/phasing models under senior guidance, including high-density GPU zones.


• Support HPC/AI solution design work: GPU cluster bills of material, InfiniBand/Ethernet fabric cable schedules, and power/cooling load calculations for dense racks.


• Build and maintain BOMs, solution templates and pricing inputs for proposals; draft sections of technical proposals and RFP/RFI responses.


• Coordinate with the DC Infrastructure team on design feasibility, costing inputs and site data.


• Maintain the solution engineering knowledge base: standard designs, density and cooling reference configurations, competitor benchmarks.


• Support site visits, client walkthroughs and technical Q&A.;

Essential qualifications & experience (must-have)

• 2–5 years in data centre design, MEP consulting, colocation operations engineering, or pre‑sales support for DC/IT infrastructure.


• Working knowledge of DC fundamentals: power chains (UPS, PDU, redundancy concepts), cooling approaches (CRAC/CRAH, chilled water, awareness of liquid cooling), rack and space planning.


• Foundational exposure to HPC/AI infrastructure: understanding of GPU server platforms and high-performance networking concepts (InfiniBand vs Ethernet/RoCE), with genuine motivation to specialise in AI data centre solutioning.


• Proficiency with AutoCAD/Revit or similar layout tools; strong Excel for capacity and BOM modelling.


• Clear technical documentation and presentation skills (PowerPoint/Word); comfort in client‑facing settings.


• Bachelor’s degree in Electrical, Mechanical, Electronics or related engineering discipline.