SIEM & SecOps Engineer II

Responsibilities:

Design, develop, and maintain high-fidelity detection rules, correlation rules, alerts, and security use cases for newly onboarded and existing log sources. Continuously tune detections to reduce false positives, improve detection fidelity, and expand detection coverage across the environment.

Develop security monitoring and detection content for AWS services, Kubernetes, microservices, Linux, macOS, databases, web applications, firewalls, and other enterprise technologies by leveraging the MITRE ATT&CK framework, threat intelligence, and adversary TTPs.

Onboard new security and application log sources by developing Logstash pipelines, custom parsers, Grok patterns, ingest processors, and enrichment workflows. Analyze raw log formats, normalize events to a common schema, and enrich security telemetry to enable reliable detection and investigation.

Design and maintain operational dashboards, executive dashboards, SOC dashboards, and threat hunting visualizations using optimized OpenSearch Query DSL, aggregations, and visualizations to provide actionable security insights and platform observability.

Integrate Threat Intelligence Platforms (TIP), IOC feeds, and enrichment services with OpenSearch. Develop IOC correlation rules, automated enrichment workflows, and contextual detections to identify malicious activity across ingested telemetry.

Expand the SIEM by implementing advanced capabilities such as UEBA, anomaly detection, OpenSearch Notebooks for investigation playbooks, SOAR workflows for automated response, and AI-driven automation to streamline Level 1 SOC operations.

Collaborate with SOC analysts during alert investigations, threat hunting, and incident response by providing L2/L3 detection engineering support, validating detections, identifying detection gaps, and continuously improving existing security content.

Follow Detection-as-Code practices by developing, testing, version-controlling, and deploying detection content through Git-based workflows and CI/CD pipelines, ensuring consistent, reliable, and scalable delivery of SIEM content.

Skills:

Hands-on experience with any enterprise SIEM platforms such as Elastic/ELK, OpenSearch, Splunk, Microsoft Sentinel, IBM QRadar, ArcSight, Google Chronicle, Wazuh, ELK/EFK or similar solutions.

Experience developing, maintaining, and tuning detection rules, correlation rules, alerts, dashboards, visualizations, and security use cases using SIEM query languages and detection frameworks such as OpenSearch/Elasticsearch Query DSL, Sigma, KQL, SPL, EQL, or equivalent.

Strong experience onboarding log sources by developing custom parsers, Logstash pipelines, Fluentd/Fluent Bit configurations, Grok patterns, ETL pipelines, field mappings, log normalization, and data enrichment workflows.

4–6 years of experience in Detection Engineering, SIEM Engineering, Security Operations, or SOC environments.

Good understanding of SIEM architecture, event correlation, log management, detection engineering, the MITRE ATT&CK framework, Cyber Kill Chain, threat hunting methodologies, attacker TTPs, Threat Intelligence integration, and IOC-based detections.

Experience developing detections and investigating security events across Linux, macOS, databases, web applications, firewalls, WAFs, enterprise infrastructure, and cloud environments.

Familiarity with open-source security technologies such as Wazuh, Suricata, Zeek (Bro), Velociraptor, HELK, EFK, Falco, osquery, or similar security monitoring solutions.

Strong foundation in computer networking, operating systems, authentication and authorization concepts, web technologies, and common attack techniques.

Familiarity with YARA rules, malware detection concepts, and security automation is an added advantage.

Strong analytical, troubleshooting, and investigative skills with the ability to identify detection gaps, validate detections, and continuously improve security monitoring content.

Hands-on experience with AWS environments and a good understanding of core AWS services such as IAM, CloudTrail, VPC, EC2, EKS, S3, CloudWatch, and cloud security monitoring concepts.

Familiarity with Kubernetes, Helm, containerized workloads, microservices architectures, and cloud-native security monitoring, Git, CI/CD Pipeline knowledge etc.

Experience and Qualifications:

4 to 6 years of overall experience as Security Operations engineer in medium to large-size product companies.

Bachelor of Technology (BE/B.Tech), M.Tech/ME in Computer Science or equivalent.

Must have worked on the ELK/EFK implementation projects, and Logstash data parsing rules.

Threat intelligence like OSINT, MISP, AlienVault, IDRBT etc.

Expertise in Log monitoring tools like Splunk, ELK/EFK, SumLogic, Loggly etc.

Assists in ensuring compliance with industry standards (for example, PCI DSS/3DS, GDPR, ISO 27001, SOC2 etc) by conducting assessments and implementing necessary controls, presenting to auditors.

Hands on experience in detection engineering, security investigations, incident response and forensics.

Experience in threat hunting using threat intelligence to investigate potential risks and finding suspicious behaviour.

Create, modify, and tune the SIEM rules to adjust the specifications of alerts and incidents.

Designs, implements, and configures Kibana visualizations as required by the business.

Configures Logstash, FileBeats, VictoriaMetrics, Prometheus, Velociraptor, Grafana and possibly other ELK/EFK Stack components to collect and store the data necessary to meet business requirements efficiently.

Strong data analysis skills; ability to independently write scripts/code to parse and analyse complex logs and data and optimize the SIEM system capabilities as well as the audit and logging features of the event log sources.

Understanding and familiarity with existing TTP frameworks like MITRE ATT&CK, Cyber Kill Chain etc.