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Overview Defensive Security Engineer on the Cloud Defense team within Security Operations. Own and evolve an Elastic-based detection and observability platform to enable “Defense as a Service” for security and engineering teams. Combine Elastic expertise with Infra/DevSecOps practices to elevate detection capabilities. The role works with security engineers, SOC analysts and incident responders, with opportunities to grow security skills on the job. The Cloud Defense team supports Adevinta’s security strategy across industry-relevant standards and collaborates with Vulnerability Management, Bug Bounty programs, SPLC Security, and other services within Information Security.The team is responsible for consolidating and scaling defensive security capabilities for multi-cloud environments (AWS and GCP), platforms and applications.Responsibilities Redesign, evolve and operate the Elastic stack (Elasticsearch, Kibana, Elastic Security/Observability) as a core part of the Defensive platform.Own the ingestion pipelines for security and infrastructure telemetry (e.g. AWS/GCP audit logs, EDR telemetry, OS/syslog from Linux fleets and key application logs) including Beats/Agents, ingest pipelines and index lifecycle management.Pragmatically optimise Elastic for performance, scalability, cost and reliability (index strategy, shard planning, hot/warm/cold, retention policies).Define and maintain standards and templates for indices, data streams, mappings and dashboards.Implement and maintain detection content in Elastic (KQL/EQL queries, rules, anomaly jobs) following defense-as-code practices: versioning, code reviews, testing and CI/CD.Collaborate with engineering teams, SOC and Incident Response to translate threat scenarios and cloud/runtime risks into Elastic rules, alerts and dashboards.Improve detections to reduce false positives and improve signal quality, based on feedback from SOC, IR and product teams.Contribute to internal tooling that improves detection engineering (e.g. shared rule templates, test harnesses, linters, rule packaging).Manage Elastic infrastructure, data pipelines, and content deployments using IaC tools (Terraform, CloudFormation) and CI/CD platforms (GitHub Actions, Argo CD).Integrate Elastic with other security and cloud services (e.g. EDR agents, cloud-native security tools, ticketing, notification channels, SOAR) to support end-to-end defensive workflows.Support the hardening and security of the Elastic platform (access control, encryption, secrets, network policies, backups and recovery).Treat Elastic as a product: maintain a roadmap, backlog, changelog and documentation for the platform’s security capabilities.Provide self-service onboarding patterns for product and platform teams (data ingestion blueprints, dashboards, reference queries, runbooks).Partner with Cloud, SRE, Platform and Application teams to ensure the right telemetry is available for runtime security, incident response and troubleshooting.Build and maintain simple and clear dashboards that show data coverage, detection health and ingest reliability over time.Level up the team’s Elastic skills by treating detections as data problems: help colleagues design data models, queries and pipelines that scale, and coach them on performance, cost and reliability trade-offs at high volume.Qualifications Must-haveStrong hands-on experience designing, operating and troubleshooting Elastic deployments in production (on-prem or cloud-managed).Experience building and operating log/telemetry pipelines into Elastic (Filebeat/Metricbeat/other Beats, Elastic Agent, Logstash, ingest pipelines).Proficiency with Kibana: dashboards, visualisations, Lens, saved searches, alerting and spaces.Solid understanding of distributed systems basics relevant to Elastic (indexing, sharding, replication, cluster health).Elastic Certified Engineer (or equivalent depth of experience); certification is a plus.Infra / DevSecOps and CloudExperience with infrastructure-as-code (e.g. Terraform, Ansible, CloudFormation) to deploy and manage infrastructure.Experience with CI/CD pipelines (GitHub Actions, Jenkins, etc…) to automate configuration and infrastructure deployments.Hands-on experience with Linux systems, containers and Kubernetes (EKS or vanilla deployments).Experience with public cloud environments, preferably AWS and/or GCP (cloud logging, IAM basics, network fundamentals).Security KnowledgeGood understanding of core security and SOC concepts: logs vs events vs alerts, detections, triage and investigations.Be familiar with threat detection concepts (TTPs, attacker behaviours, basic MITRE ATT&CK navigation) and how they map to logs and signals.Understanding of common cloud and application security risks (e.g. misconfigurations, credential misuse, suspicious access patterns).Willingness and curiosity to grow security expertise working next to teams of seasoned security professionals.General4+ years of experience in a relevant role (e.g. Platform / Observability Engineer, Elastic Engineer, DevOps/Cloud Engineer, Security Engineer working heavily with Elastic).Strong scripting / automation skills in at least one language (e.g. Go, Bash, Python).Strong analytical and problem-solving abilities.Excellent communication and documentation skills, ability to work effectively with both engineers and security specialists in a distributed and fast-paced environment.Nice to havePractical experience with Elastic Security or SIEM capabilities (detection rules, timelines, cases, EQL/KQL for threat detection).Hands-on experience integrating Elastic with EDR / runtime security tools (e.g. CrowdStrike) or cloud-native security services.Experience with SOAR tools or building automation around alert handling and incident response.Prior work in a Cloud Security / Cloud Defense / SecOps team.Contributions to open-source projects, security libraries or public talks/blog posts about Elastic, observability or security.Relevant certifications like Elastic, Cloud Security, Kubernetes or DevOps related.Note: this job description excludes placeholder strings not relevant to the role.#J-18808-Ljbffr
