Logstash Developer Engineer – L2
SISA Information Security · Bangalore
Collected role description
Role overview
Logstash Developer Engineer – L2 at SISA Information Security
Develop, enhance, test, and deploy Logstash pipelines and Grok patterns for security, network, cloud, application, database, and OS log sources.
Logstash Developer Engineer – L2 Role Summary We are looking for a hands-on Logstash Developer Engineer – L2 responsible for developing, enhancing, troubleshooting, and optimizing Logstash pipelines and Grok parsers for diverse security and infrastructure log sources.
Responsibilities
- Independently troubleshoot Not Grokked events, parsing failures, log drops, delays, incorrect tagging, and pipeline-routing issues .
- Parse and normalize logs into Elastic Common Schema (ECS) or defined SIEM schemas.
- Work with Grok, Dissect, JSON, KV, Mutate, Date, Ruby and other Logstash filters .
- Validate raw-to-parsed event flow and ensure all intended fields are correctly extracted and mapped.
- Handle multiline, nested JSON, variable-format and high-volume log sources.
- Troubleshoot end-to-end ingestion across Syslog/Filebeat/Elastic Agent → Logstash → Kafka/Redis → Elasticsearch/SIEM environments.
- Perform Grok regression and validation before production deployment to ensure no field loss or parsing rework .
- Optimize Logstash configurations for throughput, CPU/memory utilization, queue management and pipeline stability.
- Diagnose Elasticsearch indexing/mapping errors related to ingestion pipelines.
- Perform RCA for recurring parsing/ingestion issues and maintain SOPs, KEDB, validation checklists and lessons learned .
- Provide L2 support, technical guidance and KT to L1/Integration engineers, reducing dependency on individual developers.
- Coordinate with SOC, Integration, Product and Engineering teams for complex issues and production deployments.
- Required Technical Skills
Required qualifications
- Logstash, Grok/Dissect, Regex, Elasticsearch, ECS mapping, Linux, Syslog, JSON, REST APIs, troubleshooting and performance optimization.
Preferred qualifications and skills
- Work with REST APIs and API-based collectors; working knowledge of Python for log collection/transformation is preferred.
- Kafka, Redis, Filebeat/Elastic Agent, Python, Git, SQL, cloud log sources (AWS/Azure/GCP), SIEM platforms and cybersecurity log-source knowledge.
- Expected L2 Competency The candidate should be capable of independently owning a log source from raw-log analysis through Grok development, validation, deployment and production stabilization .
- L2 engineers should troubleshoot complex ingestion problems, perform RCA, optimize existing pipelines, mentor junior engineers, and deliver solutions with minimal rework and dependency on senior resources .
- Key Success Measures Grok/parser accuracy and ECS compliance Reduction in Not Grokked/parsing backlog Minimal post-deployment defects and rework No unintended log loss or ingestion delay Faster parser development and issue-resolution turnaround Pipeline stability and performance Quality of RCA, KEDB and technical documentation
Employment details
- Location: Bangalore [KA] [India]
Additional role details
- The engineer should independently handle complex parsing and ingestion issues while ensuring zero log loss, accurate ECS field mapping, and optimal pipeline performance .
Collected experience requirement
3-6 yrs