About this role
About the role
- Our Mission: We run 24/7 global tech supporting life-critical medical and security services worldwide.
- Our Shift: We are moving from manual, reactive support to smart, AI-driven operations.
- Our Culture: We value purpose, ownership, and real-world impact over hierarchy in a fast-evolving global team.
- The Mission: A senior, hands-on IT Shared Services leader to build and scale modern automation and AIOps tools.
- The Focus: Stop maintaining old systems—build what is next, use AI to simplify operations, and stop issues before they happen.
Job Responsibilities
Strategy & AI
- Set Roadmap: Own AIOps and automation strategy.
- Target Impact: Prioritize high-value, practical AI use cases.
- Prove Value: Balance quick wins with scalable solutions.
Smart Operations
- Build Observability: Design cloud and infrastructure monitoring.
- Detect Early: Use AI to spot data patterns and risk signals.
- Reduce Noise: Turn high alert volumes into actionable insights.
Scaled Automation
- Cut Manual Tasks: Replace repetitive work with orchestration.
- Auto-Remediate: Drive self-healing systems and self-service.
- Embed Workflows: Integrate automation into daily operations.
Leadership
- Lead Engineers: Manage the automation and AIOps engineering team.
- Foster Culture: Drive continuous learning and ownership.
- Partner Globally: Align with cloud, security, and vendors.
Job Requirements
Required Work Experience
- Experience in IT operations, automation, platform, or AIOps‑related roles.
- Experience delivering automation or data‑driven improvements in production environments.
- Experience working with regional or global systems is a plus.
- We do not require a specific number of years. We care about what you’ve built, improved, and learned.
Required Qualifications
- Degree or equivalent experience in Computer Science, Engineering, IT, Data, or related fields.
- Cloud, automation, or AI‑related certifications are welcome but not mandatory.
- Continuous learning is strongly valued.
Skills Required
Technical Skills
- Solid understanding of modern IT environments (cloud, hybrid, SaaS).
- Practical experience with automation, orchestration, or platform integration.
- Working knowledge of AIOps concepts, observability, telemetry, and analytics.
- Comfortable working with data (logs, metrics, events) at scale.
AI & Innovation Mindset
- Hands‑on exposure to AI, machine learning, or advanced analytics in real systems.
- Interest in using AI to solve operational problems — not just building models.
- Curious, experimental, and willing to test new ideas.
Ways of Working
- Comfortable taking ownership and making decisions.
- Able to work in fast‑moving, evolving environments.
- Strong communication skills — simple, clear, and practical.