Production Systems Engineer

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. The client is a leading global financial organization processing millions of transactions monthly, focused on strengthening resilience and enabling rapid recovery from large-scale technology failures.

• Strong experience in at least one of: Production Engineering, Site Reliability Engineering (SRE), Infrastructure/Platform Engineering.
• Solid understanding of virtualization platforms (ESX), cloud providers, storage systems, big data technologies, and networking fundamentals.
• Experience with CMDB platforms (ServiceNow) and their constraints.
• Experience with 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.