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ID 25589
_1791331256 Job Category Pharmaceuticals Job Type Contract Hourly Salary From $0 to $0 Job Location Redwood City, California United States Overview Security Integration and Automation Engineer W2
Contract Pay Rate:
$80 - $120 per hour
Location:
Redwood City, CA -
Hybrid Role Job Summary:
We are seeking a Cybersecurity Integration & Automation Engineer to architect and scale integrations across a modern, best-of-breed security stack. This role is responsible for turning a diverse set of security tools into a unified, automated, and intelligence-driven platform.
Duties and Responsibilities:
Own integration architecture across the security ecosystem, leveraging APIs, webhooks, and event-driven patterns. Build and scale automation workflows and playbooks using Tines (SOAR). Orchestrate cross-platform response actions (endpoint isolation, identity containment, SaaS risk mitigation). Correlate signals across e ndpoint, identity, network, SaaS, and data to improve detection fidelity. Integrate and normalize telemetry into SIEM for analytics and threat hunting. Lead integration across tools, including: CrowdStrike, Darktrace, Delinea Zscaler, Meraki Abnormal AI, Cyera, Valence, Oasis Island, Jamf, Intune Enable security visibility and controls across Azure and AWS. Leverage agentic coding platforms and AI-assisted development tools to accelerate integration, automation, and playbook creation. Drive automation-first operations to reduce manual effort and improve MTTR. Partner with Security, Cloud, and IT teams; mentor engineers and influence best practices. Drive a fully integrated security ecosystem with minimal silos. Increase automation and reduce operational overhead. Improve detection quality and response speed. Enable scalable, data-driven security operations.
Requirements and Qualifications:
Strong experience with API integrations (REST, webhooks, JSON). Hands-on expertise with SOAR (Tines preferred). Experience using agentic coding platforms / AI-assisted development tools (e.g., code generation, workflow automation, or LLM-driven tooling). Proficiency in Python, JavaScript, or similar. Experience with SIEM pipelines, log normalization, and data integration.
Solid background across multiple domains:
Endpoint (EDR/XDR) Identity / PAM / NHI Network & SSE SaaS Security (SSPM) Data Security (DLP/DSPM) Experience with Azure and/or AWS. Strong understanding of attack chains, threat detection, and zero-trust models.
Preferred Qualifications:
Experience with security data lakes. Event-driven or streaming architectures (e.g., Kafka). Building custom connectors or integration frameworks. Experience operationalizing AI/LLM-driven security or automation use cases. Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com. Apply Now Apply Later
