Production Systems Engineer

Our client is one of the world’s leading financial organizations, processing millions of transactions monthly and ensuring the integrity of global financial operations. We are on a mission to strengthen resilience and enable rapid recovery from large-scale technology failures.

As a Production Systems Engineer – Mass Recovery, you will identify real service dependencies, model complex failure scenarios, and support recovery during major technology incidents. This role is not about theoretical planning – it’s about creating actionable solutions grounded in system behavior under stress.

You’ll be part of a multi-disciplinary Service Management team responsible for resilience, recovery, and major incident response. Together, we ensure the smooth operation of critical services across application, platform, and infrastructure layers in a highly complex technology environment.

• Strong experience in at least one of the following: Production Engineering, Site Reliability Engineering (SRE), Infrastructure/Platform Engineering
• Solid understanding of: Virtualization platforms (ESX), Cloud providers, Storage systems, big data technologies, Networking fundamentals
• Experience with: CMDB platforms (ServiceNow) and their constraints, Observability tools (AppDynamics, Splunk)
• Ability to correlate and analyze data from multiple systems to identify patterns and risks.
• Experience working under pressure during major incident response.
• Excellent communication skills in English, both written and verbal.

Nice to have:

• Previous experience in financial technology disciplines or global banking environments.
• Exposure to Disaster Recovery or Mass Recovery planning/execution.
• Skilled in data extraction and manipulation.
• Experience with large-scale distributed systems.
• Familiarity with Jira and Confluence.

• Develop and maintain accurate service dependency models across applications, platforms, and infrastructure layers.
• Identify and document shared failure domains (e.g., ESX, Storage, Networks).
• Define and simulate blast radius scenarios for critical systems.
• Correlate service failures to uncover common root causes and dependencies.
• Deliver data-driven insights for incident management and recovery leadership.
• Validate and challenge existing data sources (CMDB, ServiceNow) to ensure accuracy based on real-world system behavior.
• Identify gaps in resilience capabilities, including unrealistic RTOs and missing recovery options.
• Work across diverse tooling (ServiceNow, observability platforms, infrastructure systems) to extract and combine relevant data.
• Collaborate on designing fault-tolerant, recoverable architectures.