Teams at Infinitive

Design, build, and maintain Logstash pipelines to ingest, parse, and enrich security logs using regex. Implement scalable source-to-target data architectures, manage AWS SQS/SNS event-driven messaging, and treat SIEM configurations as code with GitHub and Jenkins CI/CD. Analyze and troubleshoot Splunk ingestion and parsing, perform SQL-based validations and lookups, and collaborate in agile teams. Requires 3+ years in Security Engineering, Data Engineering, or DevSecOps.

Lead a high-profile integration program for a financial services client: define program operating model and governance, assess and mitigate risks, align acquisitions tenant strategy with enterprise architecture, establish shared responsibility frameworks, synthesize technical progress into executive updates, and drive cultural integration and change management across multi-year delivery.

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.