Lead Engineer - Platform And Application Support

Job Description:

Inception
42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception
42 is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception
42 functions as the core intelligence layer - transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception
42 is committed to creating positive societal impact. For more information, please visit www.inception
42.ai

Inception
42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception
42 functions as the core intelligence layer - transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception
42 is committed to creating positive societal impact. For more information, please visit (Use the "Apply for this Job" box below)..ai

Lead the technical delivery of platform reliability and application support for Inception
42’s products and applications used by internal colleagues and external customers. You will own complex production investigations, coordinate service recovery, and turn recurring failures into engineering improvements. This is a hands-on technical leadership role spanning application code, runtime dependencies, observability, operational tooling, and customer support, working closely with Product Engineering and infrastructure teams.

• Set technical standards for production diagnosis, support case quality, observability, runbooks, and recovery across assigned platforms and applications. Mentor engineers and review technical investigations and operational changes.
• Own complex escalated support cases through verified resolution, prioritising customer impact and agreed service commitments. Keep internal users and external customers informed of impact, next steps, workarounds, and progress.
• Lead technical investigation and recovery during major incidents, coordinating Product Engineering, Application Support, Azure Cloud, Net Sec Ops , Quality Engineering, and Information Security. Maintain clear timelines, handovers, and recovery validation.
• Diagnose failures across application code, APIs, authentication, queues, databases, containers, integrations, and runtime dependencies. Use logs, stack traces, traces, telemetry, and safe database queries to test hypotheses and identify causes.
• Read source code and trace execution paths; create actionable engineering escalations with reproduction steps, environment and version details, correlation identifiers, evidence, and business impact.
• Define and implement service level indicators and agreed reliability objectives with service owners. Improve dashboards and alerting around customer journeys, availability, latency, and successful processing.
• Build maintainable automation, diagnostic tools, and reviewed reliability improvements using version control, appropriate tests, and controlled deployment. Reduce repetitive support work and avoidable escalations.
• Drive release and support readiness with Engineering, including dependency documentation, health checks, operational handover, staged rollout, regression checks, and tested rollback and recovery procedures.
• Assess capacity limits and failure modes; coordinate performance, dependency-failure, and resilience testing with domain engineers and verify recovery outcomes.
• Lead root-cause reviews and track corrective…