Nightwing

QA Automation Engineer

• Lead the development, implementation, and delivery of software-defined networking (SDN) solutions for software-defined networks, ensuring timelines, technical requirements, and network performance standards are met across highly resilient and scalable infrastructure
• Design, develop, and implement network automation solutions and infrastructure management platforms using Python and modern web technologies to reduce manual intervention and improve operational efficiency
• Develop and maintain network automation frameworks, APIs, and tooling that integrate with network devices, controllers, and monitoring systems, writing clean, maintainable infrastructure-as-code that adheres to coding standards
• Integrate AI-driven analytics and automation capabilities into network operations to augment performance monitoring, anomaly detection, and predictive maintenance workflows
• Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis)
• Build and optimize containerized network applications (Kubernetes, Helm) and microservices architectures for network management and orchestration
• Develop solutions for event-driven network automation and large-scale infrastructure workflows using modern protocols and APIs
• Collaborate with network architects, security teams, product owners, and infrastructure engineers in an Agile environment, conducting code reviews and troubleshooting network applications to meet performance and reliability requirements
• Mentor engineers on network automation and infrastructure-as-code principles while influencing technical direction by evaluating emerging SDN technologies and DevSecOps methodologies
• Maintain adherence to agile development practices and modern DevSecOps workflows with a focus on security and reliability

Senior Lead Software Engineer – Network Infrastructure, Automation

General

• Identification of Cybersecurity problems which may require mitigating controls
• Analyze network traffic to identify exploit or intrusion related attempts
• Recommend detection mechanisms for exploit and or intrusion related attempts
• Provide subject matter expertise on network-based attacks, network traffic analysis, and intrusion methodologies
• Escalate items which require further investigation to other members of the Threat Management team
• Execute operational processes in support of response efforts to identified security incidents
• Utilize AI/ML-based tools and techniques to detect anomalies, automate incident triage, and improve threat intelligence
• Performing and analyzing threat intelligence to assess risk and adapt defenses using ML enhance tools
• Manage email security using ProofPoint, monitor for threats, and promptly respond to attacks
• Configure Splunk for log analysis, create alerts, and investigate security incidents diligently
• Set up FirePower for network monitoring, analyze traffic patterns, and enforce robust security measures
• Deploy Sentinel 1 agents efficiently, monitor alerts closely, and conduct thorough security assessments
• Monitoring, reviewing, and responding to security alerts and incidents across multiple platforms
• Performing threat detection and analysis, investigating suspicious activity, coordinating incident response efforts, and implementing remediation actions
• Tuning security policies, maintaining visibility into cloud and endpoint environments, and supporting continuous improvement of the organization’s security posture
• Stay current on the latest cybersecurity trends, threat actors, and AI/ML research relevant to the field
• Identify and support automation use cases, including the use of AI/ML to enhance SOC capabilities.

Senior Lead Software Engineer – Network Infrastructure, Automation

CSOC Threat Management Specialist – Tier 2