About Infinitive
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times, most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”
About the Role
We are seeking a highly skilled SIEM Engineer to support our client's Cybersecurity Operations team. In this role, you will be responsible for building, optimizing, and maintaining the data pipelines that power our security monitoring infrastructure. You will focus heavily on data ingestion, log parsing, and transformation to ensure high-fidelity data reaches our analytics platforms.
The ideal candidate bridges the gap between Security Operations and DevOps, leveraging modern CI/CD practices to manage infrastructure-as-code and building resilient data architectures.
Key ResponsibilitiesLog Ingestion & Parsing: Design, develop, and maintain complex Logstash pipelines. Write efficient Regular Expressions (Regex) and utilize Logstash syntax to parse, filter, and enrich unstructured log data.
Data Architecture & Engineering: Implement and optimize source-to-target data architectures, ensuring scalable and reliable data transformation from diverse security sources.
Event-Driven Systems: Manage and troubleshoot data flowing through cloud-native event-driven messaging systems, specifically AWS SQS and SNS.
CI/CD & Version Control: Treat SIEM configurations as code. Manage configurations using GitHub and automate testing and deployment via Jenkins or similar CI/CD pipelines.
SIEM Analysis & Troubleshooting: Analyze and query log data within Splunk to audit data quality, troubleshoot parsing errors, and investigate system messages.
Database Querying: Write and understand SQL syntax to interact with relational databases for data validation, lookups, and reporting.
Logstash Expertise (Required): Deep understanding of Logstash syntax, plugin configurations (input, filter, output), and advanced string manipulation using Regular Expressions (Regex).
DevOps & Automation: Hands-on experience with version control (GitHub) and building/maintaining deployment pipelines (Jenkins or equivalent CI/CD tools).
Big Data & Architecture: Strong grasp of big data concepts, data transformation patterns, and source-to-target pipeline architectures.
Cloud Messaging: Experience with event-based, distributed messaging systems, specifically Amazon SQS and Amazon SNS.
SIEM & Analytics: Proficiency in Splunk, specifically for reading logs, diagnosing infrastructure error messages, and validating data ingestion.
Database Skills: Solid understanding of SQL syntax for querying and validating data.
3+ years of experience in Security Engineering, Data Engineering, or a DevSecOps role.
Strong analytical and troubleshooting skills with a keen eye for data anomalies.
Ability to work collaboratively in an agile environment.
Experience with the broader Elastic Stack (Elasticsearch, Kibana).
AWS Certified Security or AWS Certified SysOps Administrator.
Familiarity with containerization (Docker, Kubernetes) for scaling log collectors.
Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $90,000.00 - $140,000.00.
Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Skills Required
- Logstash expertise (syntax, input/filter/output plugins, pipeline development)
- Advanced Regular Expressions for log parsing and string manipulation
- Experience with version control using GitHub
- CI/CD pipeline experience (Jenkins or equivalent) for automating deployments
- Design and implement source-to-target data architectures and big data transformation patterns
- Experience with AWS SQS and AWS SNS (event-driven messaging systems)
- Proficiency in Splunk for log analysis, troubleshooting, and data validation
- SQL querying skills for data validation, lookups, and reporting
- 3+ years in Security Engineering, Data Engineering, or DevSecOps
- Strong analytical and troubleshooting skills; ability to work in an agile environment
- Experience with the broader Elastic Stack (Elasticsearch, Kibana)
- AWS Certified Security or AWS Certified SysOps Administrator
- Familiarity with containerization and orchestration (Docker, Kubernetes) for scaling log collectors
What We Do
Infinitive is a transformation and technology consultancy. We enable global brands to deliver kick-ass results through insights, innovation, and efficiency. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients’ culture while bringing the right mix of talent and skills to enable a high return on investment. Our strong workplace culture has received recognition from Inc. magazine, The Washington Post, Consulting Magazine, Washington Business Journal and other top media outlets and awards programs.
.jpg)
