Senior Specialist - Platform Reliability and Application Support

About the role

Inception42, a G42 company, is looking for a senior individual contributor to improve the production reliability of its platforms, products and applications for internal users and external customers. The role combines application support experience with engineering to detect problems early, restore service and prevent recurrence, working with Product Engineering and within Tech Services alongside platform leadership, Azure Cloud, NetSecOps and Information Security.

Key responsibilities

• Own assigned services end to end, including user journeys, components, data flows, runtime behaviour and third-party dependencies.
• Implement service level indicators and reliability objectives with service owners, covering availability, latency and successful processing.
• Build and improve logs, metrics, traces, dashboards and alerting so teams can find failures quickly.
• Diagnose production issues across code, APIs, queues, databases, containers and services, and write tested automation and diagnostic tooling.
• Respond to incidents, coordinate technical recovery and communicate clearly with customers and internal users.
• Improve deployment readiness, health checks and recovery mechanisms, validate changes through staged rollouts and rollback criteria, and run performance and resilience testing.
• Use incident reviews and error budgets to propose improvements and eliminate repetitive manual work.
• Maintain runbooks, secure access and clean handovers, and share knowledge across teams.

Required profile

• Strong production application support or reliability engineering experience with software products, including complex incidents and customer-facing communication.
• Ability to read and debug application code and connect code behaviour with runtime evidence.
• Ability to write maintainable automation and tooling, using Git and applying tests before production use.
• Experience with observability, distributed tracing, alerting and service health measures.
• Working knowledge of Linux, containers, cloud services, APIs, databases and networking.
• Experience with CI/CD, production change validation, incident response and recovery, with attention to access controls and customer data.
• Participation in an agreed production on-call rota, incident response and recovery exercises.

Nice to have

• Experience with Kubernetes or OpenShift, Azure, infrastructure as code and open observability tooling.
• Experience with service level objectives, error budgets, load testing or resilience exercises.
• Exposure to AI inference or data-processing platforms.

What we offer

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