Jobs at Inviso Corporation

Design, build, and operate cloud infrastructure, deployment, observability, and reliability systems. Responsibilities include infrastructure-as-code, Kubernetes, CI/CD, incident response, SLOs, cost optimization, automation, production readiness, and support for hybrid, edge, on-premises, and customer-controlled environments. The role improves platform reliability, reduces operational toil, and enables safe, consistent delivery for mission-critical customers.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, metering, integrations, governed data access, and distributed platform capabilities. The engineer owns services across design, implementation, testing, deployment, monitoring, reliability, and support while addressing failure modes, consistency, idempotency, and scalability.

Build and operate production AI capabilities across enterprise platforms, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost and latency optimization. Develop reliable, measurable, safe, and cost-conscious AI systems; create evaluation frameworks and quality controls; monitor production behavior; and collaborate with backend, platform, product, security, and client teams to deliver practical AI solutions.

Designs, implements, and optimizes Microsoft 365 security, compliance, identity, and governance solutions for clients. Configures Microsoft Purview, Entra ID, Defender, DLP, information protection, access controls, and AI-agent security capabilities. Assesses environments, identifies gaps, develops remediation plans, automates administration with PowerShell, and delivers documentation, workshops, testing, and knowledge transfer. The role requires strong consulting and customer-facing skills while supporting technical project delivery across enterprise environments.

Leads end-to-end architecture and delivery of Azure, Microsoft Fabric, and Databricks data and AI solutions. Responsibilities include discovery, solution design, presales, proposals, scoping, governance, CI/CD standards, client presentations, and production deployment. The Architect guides engineering teams, reviews deliverables, manages milestones, risks, budgets, and customer satisfaction, and translates business objectives into scalable lakehouse and data-platform architectures.

Supports Microsoft partners across Asia by coaching them on investment programs, pipeline management, co-sell readiness, and deal progression. Manages operational requests, mailbox activity, data hygiene, documentation, dashboards, KPI reporting, and business reviews. Serves as a liaison between partners and Microsoft stakeholders, identifies performance trends, recommends improvements, and helps partners navigate internal processes and escalation paths.

Drive Microsoft 365 Copilot trial adoption across ASEAN by enabling CSP partners and resellers, supporting customer qualification and activation, resolving adoption blockers, managing pipelines, tracking KPIs, and supporting trial-to-paid conversion. The role also coordinates with Microsoft teams and distributors, maintains CRM accuracy, delivers performance insights, and supports continuous process improvement.