Lead Engineer - Platform and Application Support

About the role

Inception42, a G42 company, leads the delivery of platform reliability and application support for its products used by internal colleagues and external customers. This is a hands-on technical leadership role covering application code, runtime dependencies, observability, operational tooling and customer support, working closely with Product Engineering and infrastructure teams.

Key responsibilities

• Set technical standards for production diagnosis, support case quality, observability, runbooks and recovery, and mentor engineers while reviewing investigations and operational changes.
• Own complex escalated support cases, lead major incident investigations and recovery, and keep customers informed of impact, workarounds and progress.
• Diagnose failures across code, APIs, authentication, queues, databases, containers and integrations, using logs, traces, telemetry and source code.
• Define service level indicators and reliability objectives, improve dashboards and alerting, and build automation and diagnostic tools.
• Drive release readiness, dependency documentation, health checks, staged rollouts and rollback procedures, and assess capacity and failure modes.
• Lead root-cause reviews, protect customer data, maintain runbooks and knowledge articles, and track service commitments and recovery performance.

Required profile

• Substantial production application support or reliability engineering experience, including ownership of complex incidents.
• Evidence of technical leadership: setting standards, guiding incident recovery, mentoring engineers and improving reliability or support quality.
• Ability to read and debug application source code in a relevant language, and to build maintainable automation and diagnostic tooling.
• Strong debugging skills across SQL, HTTP, REST APIs, authentication, logs and stack traces, with disciplined handling of production data.
• Experience with CI/CD, incident and problem management, service commitments and recovery procedures.
• Clear communication with engineers, customers and non-technical stakeholders.
• Participation in on-call, escalation rotas, maintenance and recovery exercises is required.

Required skills

• Debugging in Python, Java, C#, Go or JavaScript/TypeScript
• Git, observability, distributed tracing, alerting and service health measures
• Nice to have: Azure, Kubernetes or OpenShift, infrastructure as code, service level objectives, load testing, and exposure to AI inference or data-processing platforms

What we offer

• An open, diverse and inclusive culture with a global vision
• Learning and development through structured training programs and high-tech projects
• A competitive remuneration package with healthcare, education support and leave benefits