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Specialist, Infrastructure Services Analyst II
Other
• On-site
• Full-time
•
London, United Kingdom
We’re seeking a future team member for the role of Specialist, Infrastructure Services Analyst to join our FX Execution Services team. This role is located in London.
Shift / Work Schedule: 7:00 AM – 7:00 PM and 7:00 PM – 7:00 AM / five days a week / Rotational shifts
In this role, you’ll make an impact in the following ways:
- Drive global workload automation strategy, engineering, administration, reliability, compliance, and lifecycle management for mission-critical platforms and integrations.
- Lead modernization initiatives to improve operational resilience, batch operations, scheduling, and self-service capabilities across a complex enterprise environment.
- Deliver analytics, reporting, and insights that support executive decision-making and help optimize platform performance and service delivery.
- Partner with application teams, security, operations, infrastructure, engineering, architecture, and vendors to ensure highly available, secure, scalable, and compliant services across distributed and hybrid cloud environments.
To be successful in this role, we’re seeking the following:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field; advanced degree preferred.
- Deep expertise in workload automation platforms, especially Control-M, including administration, upgrades, integrations, and operational support.
- Strong experience with enterprise batch operations, job scheduling, monitoring, and service delivery in 24x7 environments.
- Experience with APIs, microservices, integration frameworks, enterprise observability, and monitoring/analytics platforms.
- Excellent communication, stakeholder management, and problem-solving skills with the ability to present technical information to executive and non-technical audiences.
- Experience leading global batch operations or enterprise workload automation functions, with proven success improving reliability, reducing MTTR, and optimizing costs.
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