QA Automation Engineer

• Research adversarial techniques and translate threat behaviors into high-fidelity detections aligned to complex cybersecurity use cases.
• Design, build, and operate production-grade security detection infrastructure across Google SecOps and internal automation applications that support enrichment, orchestration, and response workflows.
• Lead telemetry and detection lifecycles, including source onboarding, parsing, normalization, enrichment, testing, deployment, tuning, and ongoing maintenance.
• Develop custom integrations, automations, and lightweight services using application programming interfaces (APIs), webhooks, and event-driven patterns to improve signal fidelity and reduce mean time to detect and mean time to respond.
• Create dashboards, metrics, and reports using business intelligence tools, structured query language (SQL), statistical analysis, and applied artificial intelligence and machine learning techniques to improve threat visibility and operational reporting.
• Apply Python, prompt-driven workflows, model context protocol (MCP) capabilities, and agent-to-agent orchestration patterns to support detection engineering, enrichment, and analytic decision support.
• Collaborate with threat intelligence, threat hunters, incident responders, red team, and engineering partners to evaluate detection coverage gaps and improve defensive capabilities.
• Manage work through Agile practices, documenting requirements, tracking delivery, and maintaining reliable platform operations across hybrid environments.

Threat Detection and Automation Engineer

• Partner with Senior AI Automation Engineer to find and fix manual processes
• Ship AI-powered automations
• Contribute to OUTGPT, the internal AI platform
• Work on integration tasks with REST APIs, webhooks, OAuth, SQL
• Mentor intern and grow as part of the team

AI Automation Engineer

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

Lead Quality Automation Engineer

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients' needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Senior Agentic Automation Engineer

• Develop system architectures and data flows for biologics, pharmaceutical, and advanced therapy manufacturing (DCS, PLC/SCADA, MES, historians, network layers)
• Develop product recipe strategies across the full application layer of ERP, MES and DCS Batch
• Ensure architecture supports scalability, cybersecurity, data integrity, and multi-product flexibility
• Lead the creation, review, and approval of: URS (User Requirements Specifications), FRS (Functional Requirements Specifications), DS / DDS (Design Specifications), Functional & Control Narratives, Recipe Design Documentation (ISA-88 compliant)
• Configure, program, and deploy Digital System within the manufacturing environment
• Support integration of OEM skids: bioreactors, chromatography systems, filtration skids, CIP/SIP, and fill finish equipment
• Lead deviation investigations, CAPAs, and risk assessments related to Digital systems
• Serve as SME for troubleshooting, system optimization, batch failure analysis, and performance enhancements
• Collaborate with IT/OT, process engineering, MSAT, quality, and capital project teams to deliver integrated system solutions
• Mentor junior engineers and act as technical SME during audits and regulatory inspections

Lead Automation Engineer, MES – Digital Systems

• Develop Infrastructure-as-Code (IaC) templates and scripts using industry-standard tools such as Terraform, Ansible, or CloudFormation.
• Leverage IaC practices to automate the provisioning, configuration, and management of infrastructure resources
• Developing SDK and REST API using python
• Collaborate effectively with cross-functional teams; Act as a technical advisor, providing guidance on infrastructure design and implementation decisions
• Create comprehensive documentation, including architectural diagrams, technical specifications, and guidelines, to facilitate knowledge transfer and ensure a clear understanding of infrastructure components and their interdependencies
• Collaborate with stakeholders to understand business requirements and design infrastructure solutions that align with organizational goals and best practices

Cloud Automation Engineer – IaC

• Design, develop, and maintain automated security workflows that streamline SOC and Threat Hunting operations
• Lead expert-level development, tuning, and lifecycle management of SOAR playbooks to automate alert triage, enrichment, containment, and response processes
• Identify, troubleshoot, and remediate playbook failures, integration issues, and automation errors, performing break-fix and tuning activities prior to production deployment
• Architect and maintain integrations between SOAR, SIEM, EDR, and third-party security tools using APIs and custom scripting
• Develop custom automation scripts and integrations in Python and JavaScript
• Create and maintain dashboards, reports, and metrics to provide visibility into automation performance and effectiveness
• Install, validate, and deploy content packs and updates, following change management best practices
• Serve as the primary subject matter expert (SME) for the SOAR and security automation platforms
• Monitor and manage platform health, internal databases, and system performance to ensure reliability, data integrity, and continuous availability of automation services
• Lead vendor engagement and support activities

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