Infrastructure Operation Engineer - Slough, United Kingdom - Jam Management Consultancy Limited T/A JAM RECRUITMENT

Tom O´Connor

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Tom O´Connor

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Description

This role interacts with the Support team and other Network/Application teams and so the individual must exhibit a "team" attitude in order to make sure Support receive the service required and Network/Application teams receive the information required ina timely and professional manner.


The platform is used 24x7 and across customer sites so there is some expectation to support out of hours from time to time, and to visit customer premises on occasion.


Monitoring & Maintenance

  • Ensuring that correct alerting is configured and local work instructions are up to date
  • Researching/defining monitoring and observability best practices
  • Proposing, approving and implementing long term fixes for recurring issues
  • Actively monitoring the NOC

Faults / Escalations

  • Act as an escalation point for faults, attend/lead investigation into incidents and complete follow up tasks
  • Propose solutions for preventative measures to mitigate recurrence of issues
  • Create, approve and implement solutions to faults

Software Deployment

  • Installation of new services and upgrades of existing services
  • Writing, approving and executing changes of low to medium risk levels

OOH Work

  • Act as a level 1 operations escalation on a rotational basis
  • Complete OOH changes for own projects where relevant
  • Attend datacentre sites when required
  • Complete overnight shifts on a rotational basis

This role interacts with the Support team and other Network/Application teams and so the individual must exhibit a "team" attitude in order to make sure Support receive the service required and Network/Application teams receive the information required ina timely and professional manner.


The platform is used 24x7 and across customer sites so there is some expectation to support out of hours from time to time, and to visit customer premises on occasion.

SQL Server; PostgreSQL; R (tidyr, dplyr) Python (NumPy, Pandas would be of advantage.

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