Tyler Slijboom

Cyber Security and Python DevOps Engineer with over a decade of experience designing automated pipelines, data infrastructure, Python micro services and SIEM/SOAR solutions. Specialization in improving developer environments with secure CI/CD pipelines, DevSecOps principles, and reducing alert noise for developers and SOC teams.

• Agile
• Amazon Web Services
• Souci du détail
• Tests automatisés
• Analyse d’affaires
• CI/CD
• Communication
• CSS
• Docker
• Flask
• Git
• GitHub
• Go
• Google Cloud
• GraphQL
• HTML
• Jira
• Kubernetes
• Leadership
• Linux
• MySQL
• PostgreSQL
• Résolution de problèmes
• Gestion de projet
• Python
• Assurance qualité
• Collecte des exigences
• API REST
• Scrum
• SQL
• Travail d’équipe
• Gestion du temps

1. Python Telemetry Engineer II

   Cyderes

   avr. 2023 to Aujourd’hui

   • Engineered and scaled robust enterprise data pipelines utilizing CrowdStrike, Cribl.io, and GCP SecOps to ingest AWS S3 terabyte-scale security telemetry into Google SIEM. • Designed and deployed automated Python regression testing workflows utilizing anonymized multi-tenant cloud schemas, integrating dynamic GitHub Actions to continuously update test parameters and eliminate stale-data blind spots. • Maintained and optimized a core Go-based continuous delivery engine responsible for nightly code releases, executing automated configuration parity checks against GitHub to guarantee 100% test success prior to production promotion. • Developed high-performance Python and Go microservices leveraging native GCP APIs to automate SaaS telemetry ingestion and core cloud security control configurations. • Created custom YARA-L detection rules targeting advanced MITRE ATT&CK patterns, conducting peer code reviews that successfully reduced SOC false-positive alerts by 8%. • Overhauled CI/CD deployment architectures using GitHub Actions, successfully increasing deployment success rates from 79% to 98%. • Reduced data parser codebase bloat by 15% by implementing a custom Python linting utility to enforce rigid structural formatting and robust runtime error handling.

2. Security Consultant

   Rapid7

   avr. 2021 to févr. 2023

   • Led technical deployments of Rapid7 SIEM, SOAR, and Vulnerability Management (VM) products across diverse customer environments. Maintained detailed records of resolved and outstanding issues. • Customized Rapid7 product reporting and dashboard analytics to align with enterprise client security needs. • Optimized engagement timelines, achieving an average deployment time of 72% of scheduled meeting allocations; saving approximately 2 hours of meeting time. • Gathered requirements, planned solutions, and written technical SOWs for custom python solutions with customers. • Delivered custom Python micro service solutions utilizing Rapid7 APIs for specialized customer compliance reports and remediation processes. • Troubleshoot complex customer accounts regarding IAM permissions and network configurations. Ensured network and EDR coverage of 99% of machines. • Trained customers on foundations of SOAR, security workflow infrastructure and how to build custom workflows.

3. Consultant: Python Developer

   Rapid7

   oct. 2019 to mars 2021

   • Integrated complex cloud architectures and security ecosystems into the InsightConnect SOAR plugin framework to automate incident response playbooks. • Designed and engineered robust plugin interfaces for third-party platforms, enabling automated containment actions such as targeted Office 365 mailbox searches and rapid Active Directory privilege revocations. • Hardened developer environments and rigorous coding standards by mandating strict SSL/TLS verification protocols across all internal HTTP request modules. • Managed cloud SOAR solution AWS Lambda functions, CloudTrail for execution trails, and CloudWatch for processing health and metrics. SOAR connection details stored in AWS Secrets Manager. • Implemented automated pre-commit linting and integrated Snyk SAST testing directly into developer workflows, reducing code-level security false positives by 16%. • Conducted deep technical scoping sessions and client interviews to define feature roadmaps, leading Agile/Scrum sprint ceremonies to align developer outputs with stakeholder expectations.

4. Consultant: Python AI/ML and ETL Developer

   Co-operators

   févr. 2019 to oct. 2019

   • Designed and deployed a resilient ETL solution to a containerized Kubernetes infrastructure to orchestrate Apache Airflow data pipelines and compute-heavy Python machine learning workloads. • Developed a secure Python ETL data processing pipeline to ingest and consolidate subsidiary customer datasets, executing automated algorithmic identity resolution to cleanly deduplicate accounts. • Built QA Testing infrastructure; unit testing for objects and integration test suites with sample customer data. • Built secure Python REST microservices to facilitate low-latency, encrypted data exchanges between internal systems and the core analytical engine. • Established AWS Secrets Manager for application accounts, implementing secure Kubernetes containerized environments for production deployment and scoped configuration profiles for localized development. • Built pipelines for 500,000 customer records to AWS DynamoDB for ML objects when processing information, and customer data tables stored in AWS RDS and S3.

5. Consultant: Python Automation Developer

   Royal Bank of Canada

   oct. 2017 to janv. 2019

   • Designed and built a high-availability Python Flask web application paired with an on￾premise, secured postgresSQL state engine to dynamically route isolated proxy traffic and generate automated ITSM tickets in JIRA. • Scaled and isolated the Flask application infrastructure using a highly secure Docker Compose framework fronted by an Nginx reverse proxy and load balancer. • Network proxy exceptions triggered ITSM workflow, enriching user data from Active Directory, reducing engineering delivery lead times by 80%. • Delivered comprehensive Software Development Lifecycle (SDLC) artifacts, including automated unit-testing suites, robust Confluence knowledge bases, and granular network architecture diagrams. • Released final project to AWS ECS for scalability.

6. Consultant: Database Regression Test Engineer

   Teranet

   mars 2017 to août 2017

   • The main project was to perform regression testing on a Java ORM transition from TopLink to EclipseLink. • Developed the Test Harness to get an EJB object to interact with Java ORM, simulating production calls to the DB with sample data stored in JSON files. • Extensive Oracle DB used in creating 150 sets of 100 test cases of valid data in DB to comprehensively detect regressions in the ORMs. • Configured centralized Amazon RDS data persistence layers for stakeholder reports and final data.

7. Network Automation Engineer

   Juniper Networks to Blackberry

   mars 2016 to mars 2017

   • Migrated legacy Perl scripts to Python and encapsulated them into a reusable, standardized in-house library. • Cleared network bottlenecks associated with SNMP administration, effectively reducing traffic and optimizing polling intervals. • Served as project lead for automation scripts managing application deployment, database configuration, and database versioning.

8. Perl ETL Developer

   Manulife Financial

   sept. 2015 to févr. 2016

   • Engineered high-performance, object-oriented Perl data layers using Moose principles to migrate the team away from an unmaintainable "one script per data source" model. • Authored granular technical data-mapping blueprints to guide actuaries and data engineers in securely extracting legacy mainframe datasets into Informatica platforms. • Constructed a comprehensive Perl automated testing harness to rapidly isolate and remediate data extraction anomalies, delivering complete QA validation documentation for compliance audits.

1. University of Waterloo

   Honours B.Math, Computer Science & Combinatorics

• Rapid7 InsightVM Certified Professional

• InsightConnect Certified Professional

• InsightIDR Certified Professional