L2 Support Engineer
On site
London, United Kingdom
Freelance
25-04-2025
Job Specifications
JOB DETAILS
Role Title: Production Applications / L2 Support Engineer
Possibility of remote work: Work from office – weekly 3 days ( Tues/Wed/Thurs)
Contract duration: 6+ months
Location: London
Important: Candidates must be flexible and comfortable with weekend shift rotations as part of the regular work schedule, with compensation provided through time off in lieu.
Required Core Skills: Java and DB
Nice to have skills: Splunk
Areas Of Responsibility
Excellent communication skills and person should be more collaborative with multiple internal teams.
Should be interested working in Support projects. Willing to work during weekend shifts on a rotational basis.
Working exp. on Java and DB (either Dev or Support. Should be comfortable in analysing Java code or SQL query)
Good hand on exp. with Splunk usage (No need to have Splunk admin knowledge, but need to have good knowledge on querying, reg-ex. Usage, alerts and dashboards setup etc.)
Need to have Application log analysis skills and prior exp. to troubleshoot issues in production environments.
ITIL / Ticket / Incident managing skills and previous work exp. on the same would be considered.
Should be more pro-active with respect to Production issues and notifying the team about on-going and future predictive issues.
Ensure Client SLAs are met - Manage deliverables for critical applications by working with Business users and understand the IT/business SLA’s.
Collaborate with Dev/L3s on incidents/issue triages and release/change review meetings as well as identify enhancements for application platform stabilization.
Troubleshoot Major Incidents, involving and engaging all necessary teams, create post mortems, and ensure closure of incident.
About the Company
Natobotics Ltd founded in 2012, provides boutique technology, digital customer experience, consulting and software development services. Over the years we had been supporting our clients in the areas of cloud transformation, Big data & Analytics, Digital Journey, Machine Learning and Platforms. Know more
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