Metadome.ai

IT Systems Engineer

Location: Bengaluru, India · On-site | Experience: 5+ years in IT systems / infrastructure

Department: IT & Information Security | Employment Type: Full-time | Reports To: Engineering Leadership

Focus: Own the identity, endpoints, network, and compliance backbone that powers immersive technology at

scale.

The Mission

About Metadome.ai

Metadome.ai is an immersive 3D & XR technology company that enables cloud-based, photorealistic, and captivating customer experiences for brands. Our technology offers a complete stack for creating immersive 3D & XR applications with omni-channe deployment across both in-store and digital touchpoints, and over a multitude of devices. These experiences span a spectrum of use cases across the automotive, home décor, fashion, and cosmetics & accessories sectors. Our flagship automotive platform — Autodome — enables unprecedented photorealistic, cloud-based immersive 3D & XR applications that cover the entire pre-retail funnel, empowering brands to launch products virtually and drive awareness, engagement, and bookings among modern automotive consumers. Today, we are trusted partners to leading brands across the globe — including Unilever, MG Motor, Lexus, Asian Paints, Tata Motors, and Royal Enfield, among others. We have also partnered with the likes of TCS, SAP , and PwC, and are an active voice in the XR community, including the

Metaverse Standards Forum and the VR/AR Association.

About the Role

We are looking for a hands-on IT Systems Engineer to own and run the technology backbone that keeps our teams productive and our data secure. You will be the single point of accountability for IT operations and information security across a multi-location business where 24x7 systems availability is core to how we operate — managing identity, endpoints, network, and our cloud workspace, while operating and continuously hardening our GDPR, SOC 2, and ISO 27001 compliance posture.

This is a builder-operator role, not a supervisory one. We run a tight ship on security and compliance, and we expect you to have personally implemented and operated the systems and controls described below — you should know them inside out, down to the configuration, the evidence, and the edge cases.

Core Responsibilities

● Identity & Access Management — JumpCloud:

○ Own the JumpCloud directory end-to-end: user lifecycle (joiner / mover / leaver), groups, and organizational structure.

○ Administer SSO, enforce MFA, and configure conditional and device-based access policies across all SaaS applications.

○ Manage cross-platform device policies (macOS, Windows, Linux) via JumpCloud device management, including disk encryption and compliance baselines.

○ Integrate RADIUS / LDAP for Wi-Fi and application authentication.

○ Automate onboarding and offboarding to guarantee least-privilege access and clean, auditable deprovisioning.

● Google Workspace Administration — GWS:

○ Administer the Google Workspace tenant: users, groups, organizational units, and email routing.

○ Configure and enforce security controls — 2-Step Verification, context-aware access, DLP rules,

and sharing / visibility policies.○

○ Manage retention, eDiscovery, and legal holds through Google Vault. Optimize licensing and SaaS spend across Workspace and other portals.

Endpoint & Threat Protection — Sophos:

○ Deploy, configure, and manage Sophos Central (Intercept X / XDR) across all endpoints and

servers.

○ Monitor alerts, triage threats, and lead incident detection, response, and remediation.

○ Maintain endpoint encryption, web / application control, and device-hardening standards.

○ Where Sophos Firewall is in use, manage firewall policies, IPS, and secure remote access.

Network, Firewall & Wi-Fi:

○ Design, configure, and maintain firewalls, VLAN segmentation, VPN, and secure remote access.

○ Administer enterprise Wi-Fi and wired networks (switches, access points), including

RADIUS-backed authentication.

○ Manage LAN / WAN connectivity, ISP relationships, and network performance and uptime.

○ Implement network monitoring, intrusion detection, and centralized logging.

Hardware, Software & Asset Management:

○ Own the full hardware lifecycle — procurement, provisioning / imaging, maintenance, repair, and

decommissioning.

○ Support a mixed fleet of macOS, Windows, and Android devices, including high-performance workstations and XR / VR hardware used by our creative and engineering teams.

○ Maintain an accurate hardware and software inventory and asset register.

○ Manage software deployment, patch management, and license compliance.

Security, Risk & Compliance — GDPR · SOC 2 · ISO 27001:

○ Operate and continuously improve the company's Information Security Management System

(ISMS).

○ Own day-to-day compliance for GDPR, SOC 2 (Type II), and ISO/IEC 27001 — including control

implementation, evidence collection, and continuous monitoring.

○ Conduct risk assessments, internal audits, periodic access reviews, and vendor security / DPA

assessments.

○ Serve as a primary point of contact during external audits and customer security reviews.

○ Maintain security policies, records of processing (RoPA), DPIAs, and incident / breach-response

runbooks.

○ Drive security-awareness and phishing-simulation programs across the organization.

IT Operations & Support:

○ Ensure 24x7 high availability of core systems and meet defined uptime and SLA metrics.

○ Provide escalation-level troubleshooting and support across macOS, Windows, and Android.

○ Manage backups, disaster recovery, and business-continuity testing.

○ Coordinate internal teams and third-party vendors to deliver IT projects on time and within

budget.

○ Maintain documentation, runbooks, and standard operating procedures.

○ Own and report on the IT budget and asset allocation.

Required Skills & Experience

● 5+ years in IT systems / infrastructure engineering — with direct, hands-on ownership of the systems

below rather than purely supervisory exposure.

● JumpCloud — demonstrated hands-on expertise across identity, SSO, MFA, and device management.

● Google Workspace (GWS) — deep admin-console experience including security, DLP , and Vault.

● Sophos — hands-on endpoint / XDR administration and threat response.

● Networking — firewall configuration, Wi-Fi, VLANs, VPN, LAN / WAN, and RADIUS / LDAP fundamentals.

● GDPR, SOC 2 & ISO 27001 — hands-on — you have personally taken an organization through at least one

full audit / certification cycle and know the controls, evidence, and auditor expectations inside out.

Cross-platform support — proven troubleshooting across macOS, Windows, and Android in a 24x7, multi-location environment.

System security — solid grasp of IDS / IPS, endpoint hardening, encryption, and backup / recovery.

Education — B.Sc. / B.Tech in Information Technology, Computer Science, or a related discipline.

Mindset — strong documentation discipline, ownership, resourcefulness, and a structured, problem-solving approach.

Preferred Qualifications

●Relevant certifications — e.g., ISO 27001 Lead Implementer / Auditor, CompTIA Security+ / Network+, or vendor certifications from JumpCloud and Sophos.

●Experience with compliance-automation platforms such as Sprinto, Vanta, or Drata.

●Scripting and automation for IT operations (Bash, PowerShell, or Python).

●Experience in a fast-paced SaaS or technology company serving enterprise and global clients.

●Familiarity with supporting creative, 3D, or XR workflows and high-performance computing environments.

Why Join Us

You will own the systems and security posture of a company building category-defining immersive technology for some of the world's most recognizable brands. It is a high-trust, high-ownership role with the autonomy to design things properly — and the visibility that comes with keeping a security- and compliance-first business running

flawlessly.

PRINCIPAL AI ENGINEER @ METADOME.AI

Company Description

Metadome.ai builds frontier AI models that transform text, drawings, and CAD into production-ready, interactive 3D experiences. The company advances a full generative pipeline—text-to-CAD, 2D-to-3D

reconstruction, CAD completion and harmonization, and real-time interactive rendering—engineered for the precision required in the physical world. Its technology currently powers the modernization of

OEM aftersales for more than 30 automotive and heavy-equipment manufacturers worldwide, delivering accurate, scalable, and fast 3D solutions. Metadome.ai’s platform enables shoppable 3D parts, step-by-step repair animations, and a headless API that feeds consistent 3D assets into commerce, dealer, training, and service systems. The broader mission is to allow anyone to move from an idea, drawing, or specification to a production-grade 3D model and beyond in seconds.

Role Description

As a Principal AI Engineer — Generative CAD & 3D, you will lead the design, development, and deployment of advanced AI models that convert text, 2D drawings, and CAD files into engineering-grade 3D content. You will architect end-to-end generative pipelines, including

text-to-CAD, 2D-to-3D reconstruction, CAD completion, and real-time rendering, collaborating closely with product, design, and engineering teams to ship robust production systems. Day-to-day, you will experiment with novel neural network architectures, optimize model performance on large-scale CAD datasets, write high-quality production code, and guide the integration of AI services into customer-facing platforms. You will mentor other engineers, establish best practices for AI development, and contribute to technical strategy and roadmap. This is a full-time, hybrid role based in Bengaluru, with a mix of on-site collaboration and work-from-home flexibility.

Qualifications

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, system design, and production-grade coding in languages such as Python, C++, or similar.
• Deep expertise in Neural Networks and Pattern Recognition, with hands-on experience designing, training, and deploying modern deep learning architectures for complex, high-dimensional data.
• Experience with Natural Language Processing (NLP), including working with text encoders, multimodal models, and integrating language understanding into generative workflows.
• Advanced degree (Master’s or PhD) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent practical experience in AI/ML research and engineering.
• Background in 3D geometry, CAD, computer graphics, or related domains, with familiarity in 3D representations, mesh processing, and rendering pipelines.