Elasticsearch Lead Engineer - SIEM Platform

• Architect and maintain high-availability Elasticsearch clusters supporting large-scale security event ingestion
• Define and enforce Elastic Common Schema (ECS) field mappings across all data sources, ensuring consistent normalization for detection rules and analytics
• Design and develop custom data ingestion pipelines using Elasticsearch
• Integrate with AWS services including S3, Kinesis Data Streams, Lambda, and CloudWatch for log collection
• Manage AWS infrastructure: EC2, S3, IAM, and Secrets Manager - using AWS CloudFormation
• Implement data lifecycle management - hot/warm/cold/frozen tier strategies, ILM policies, and snapshot/restore to S3-based data lakes
• Partner with Detection Engineering and Threat Intelligence teams to optimize index strategies, queries, and dashboards in Kibana
• Establish and maintain cluster security controls: TLS/mTLS, role-based access control (RBAC), audit logging, and encryption at rest
• Build resilient, fault-tolerant architectures: cross-cluster replication, shard allocation awareness, and disaster recovery runbooks
• Perform activities related platform health monitoring and upgrade / patching
• Troubleshoot and manage production technical issues related to Elasticsearch cloud
• Define and enforce SLOs for ingestion latency, query performance, and cluster availability
• Mentor junior engineers and establish best practices, runbooks, and architectural standards

• Minimum of six years related work experience.
• Undergraduate degree in a related field or the equivalent combination of training and experience.
• 6+ years of Elasticsearch / Elastic Stack (ELK) experience in a production security or observability environment
• Deep understanding of Elastic Common Schema (ECS) and experience mapping diverse log sources (Windows, Linux, network, cloud, EDR) to ECS
• Hands-on experience operating Elasticsearch at scale (10TB+/day ingest, 100+ node clusters)
• Proficiency with AWS - Kinesis, S3, IAM, CloudTrail, and AWS-native log sources
• Experience with data streaming platforms - Apache Kafka, or Confluent Platform - for high-throughput event ingestion
• Experience integrating with data lake platforms - AWS S3 / Lake Formation, Data Lake, or Apache Iceberg for long-term retention and threat hunting
• Strong understanding of security principles: least privilege, network segmentation, secrets management, audit logging
• Experience building resilient systems: replication topologies, capacity planning, chaos engineering mindset, and documented DR procedures
• Proficiency with infrastructure-as-code tools (Terraform, Ansible, or CDK) (Optional), * Elastic Certified Engineer or Elastic Certified Analyst certification
• Experience with Elastic Security / SIEM detection rules, ML jobs, and Timeline investigations
• Familiarity with MITRE ATT&CK framework and how it informs index and detection design
• Experience with container-based deployments of Elastic (ECK / Kubernetes)
• Knowledge of compliance frameworks: SOC 2, PCI-DSS, HIPAA, or FedRAMP

Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities. We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape. Our crew are our greatest resource - by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core., About Vanguard At Vanguard, we don't just have a mission-we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.