Sr. SIEM Engineer (Elastic + Confluent)

Accenture•Fort Belvoir, VA

36d•Remote

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.â¯Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! We are: Accenture Federal Services, bringing together commercial innovation with the latest technology to unleash the potential for our federal clients. Every day we bring bold thinking and diverse disciplines to solve problems in new ways. Ready to learn as much as you can We'll give you numerous opportunities from informal training sessions to courses and certifications to keep your tech smarts sharp. You are: AFS is seeking a Sr. SIEM Engineer specializing in Elastic Stack and Confluent in support of the PEO Enterprise SIEM Consolidation / Cyber Defense effort. This effort is focused on the consolidation of PEO Enterprise multiple SIEM solutions (approx. 40) into one consolidated SIEM. This individual should have extensive experience with Security Information and Event Management (SIEM) deployment and tuning as well as Security Orchestration Automation and Response (SOAR) development and implementation.

Requirements

Secret clearance is required to maintain this position
Compliance with one of the DoD 8140 / 8570 IAT Level II certification prior to start date (CompTIA Security+ CE, CySA+, CCNA Security, GSEC, GICSP)
3+ years of hands-on experience in deployment, configuration, and solution development using the Elastic Stack for security and logging use-cases
Demonstrated experience with the full Elastic Stack: Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and REST API integration
Experience in developing data structures and data mapping from various sources to achieve data normalization using Elastic Common Schema
Experience developing Logstash and/or Elastic Ingest Pipelines
Experience developing custom visualizations and dashboards using Kibana, including creating specialized reporting solutions through Elasticsearch and Kibana APIs to meet complex stakeholder requirements
Certified Elastic Engineer or willingness to gain certification within 90 days of hire
US Citizen

Nice To Haves

Experience using and developing Ansible playbooks for automation of system deployment and/or configuration
Experience with developing in multiple languages (Python, Bash, PowerShell, Painless, etc.)
Understanding of the MITRE ATT&CK framework
Experience with cloud environments (e.g., Azure, AWS, GCP, etc.) and cloud security architecture
Experience integrating Elasticsearch with external systems (e.g., SOAR tools, Threat Intel Platforms) and alternate authentication mechanisms such as SAML, LDAP, and PKI
Experience with data management: hot/warm/cold architectures, shared allocation/re-allocation, snapshots & restoration
Strong experience with evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security, and cluster administration
Experience supporting the Elastic Stack in on-prem and SaaS environments, including system monitoring and tuning, securing the Elastic Stack, and hardening hosting environments
Experience with the design and implementation of highly scalable solutions using the Elastic Stack
Experience in end-to-end low-level design, development, administration, and delivery of Elasticsearch-based reporting solutions
Strong technical foundation in building reliable, scalable, and supportable systems
Experience in Red Hat Enterprise Linux deployment and administration

Responsibilities

Design, deploy, configure, and maintain Elastic stack and Confluent deployments
Manage, patch, and upgrade Elasticsearch, Confluent, and other related systems
Tune and optimize Elastic stack deployments based on application/customer needs
Design and configure ETL data pipelines to ingest customer defined data sets such as application logs, metrics, and or threat events
Create custom visualizations and dashboards using Kibana
Configure and maintain index templates and information lifecycle management (ILM) policies
Develop Elastic alerting solutions using Watcher and/or Kibana Rules and Connectors with integrations to ticketing systems, email, and messaging apps as required
Develop Machine Learning (ML) jobs to dynamically monitor and alert on identified metrics, KPIs, and/or data anomalies
Follow ITIL based change management processes to move solutions from Dev to Test and into Production
Run the day-to-day operations of the security operations center
Investigate incidents and lead response efforts as applicable