Security Data and Platform Engineer

Responsibilitiesact
London, UK
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Bash Shell Software as a Service Cloud Computing Information Engineering Data Governance Elasticsearch Intrusion Detection and Prevention Python (Programming Language) Performance Tuning Logstash
+7 more
Software Engineering Scripting Google Cloud Indexer Data Strategy Apache Kafka Data Pipelines

Job description

Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security challenges. Working closely with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams, you will ensure security data is reliable, high-quality, cost-effective and fit for monitoring, investigation, threat hunting and compliance.Key ResponsibilitiesAct as the technical authority and SME for security data within the Elastic Security ecosystemDesign, implement and maintain scalable security data ingestion pipelines into Elastic SIEMOwn the onboarding, tuning, normalisation and stabilisation of security data feeds across cloud, endpoint, network and SaaS sourcesDefine and continuously improve data quality standards to support detection, investigation and threat huntingContribute to the operation, performance and evolution of the Elastic Security platformApply software engineering and scripting skills, for example in Python or Bash, to automate ingestion

Requirements

validation, monitoring and operational workflowsSupport configuration as code and infrastructure as code to improve consistency and scalability across security toolingDrive the development of a security data strategy aligned with business and regulatory requirementsQualificationsStrong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similarExpertise in Elastic data modelling, indexing and performance optimisationExperience designing scalable log collection and processing architecturesKnowledge of data governance, retention and security telemetry across cloud, endpoint and networkExperience with Azure, AWS, GCP or hybrid environmentsStrategic mindset with a focus on long-term data quality and platform evolutionStrong communication skills, with ability to explain complex concepts to technical and non-technical stakeholdersCollaborative approach with experience mentoring others and working across teams to improve security

Benefits & conditions

outcomesBenefitsHighly competitive compensation plus annual discretionary bonusLunch provided via Just Eat for Business and dedicated barista bar35 days’ annual leave9% company pension contributionsInformal dress code and excellent work-life balanceComprehensive healthcare and life assuranceCycle-to-work schemeMonthly company eventsInclusive Work EnvironmentG-Research is committed to cultivating and preserving an inclusive work environment. We place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section. #J-18808-Ljbffr

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