Elasticsearch Lead Engineer - SIEM Platform

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 Cloud Watch for log collection

Manage AWS infrastructure: EC2, S3, IAM, and Secrets Manager - using AWS Cloud Formation

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

Qualifications

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, Cloud Trail, 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)

Preferred Qualifications

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

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

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.