Jobs at Elite Technology

Leads a Tier 2 technical support team responsible for resolving complex cloud, API, and platform incidents. The role manages escalations with enterprise stakeholders, partners with Engineering and Product, drives root-cause analysis, develops support playbooks, and implements AI-powered triage and deflection. It requires strong SaaS troubleshooting, incident-response leadership, executive communication, and customer-facing technical support experience.

Designs scalable systems, leads end-to-end technical execution, drives cross-team initiatives, and contributes hands-on production code. The role maintains engineering standards across architecture, testing, CI/CD, observability, and DevOps; leads incident response and root-cause analysis; mentors engineers; troubleshoots production issues; and aligns technical delivery with product priorities.

Lead complex software initiatives from architecture through delivery while remaining hands-on. Design scalable cloud-native systems, establish engineering and DevOps standards, manage technical debt, resolve production issues, mentor engineers, and partner with Product, QA, Security, UX, and Infrastructure teams. The role focuses on Microsoft technologies, Azure services, distributed systems, event-driven architectures, testing, observability, reliability, and predictable execution of the product roadmap.

Manage strategic global SaaS client relationships, develop account plans, drive renewals and expansion, exceed revenue targets, navigate complex enterprise sales cycles, and advise C-suite stakeholders. The role requires collaboration across marketing, customer success, product, and solutions consulting teams, use of Salesforce and analytics for forecasting, and frequent global travel to client sites and events.

Lead AI ideation, experimentation, and rapid prototyping to evaluate and operationalize generative AI, copilots, and agentic automation across product and enterprise. Advise stakeholders, produce proofs-of-concept, define standards and guardrails for responsible AI, and help teams translate validated ideas into scalable implementation plans.