Lead Information Security Engineer - Python Full Stack Developer

• Lead computer security incident response activities for highly complex events
• Conduct technical investigation of security related incidents and post incident digital forensics to identify causes and recommend future mitigation strategies
• Provide security consulting on large projects for internal clients to ensure conformity with corporate information, security policy, and standards
• Design, document, test, maintain, and provide issue resolution recommendations for highly complex security solutions related to networking, cryptography, cloud, authentication and directory services, email, internet, applications, and endpoint security
• Review and correlate security logs
• Utilize subject matter knowledge in industry leading security solutions and best practices to implement one or more components of information security such as availability, integrity, confidentiality, risk management, threat identification, modeling, monitoring, incident response, access management, and business continuity
• Identify security vulnerabilities and issues, perform risk assessments, and evaluate remediation alternatives
• Collaborate and influence all levels of professionals including managers
• Lead a team to achieve objectives
• Lead the development of mission critical python services, ensuring high availability and low latency performance
• Standardize how code moves through the organization, implementing sophisticated deployment patterns like Blue-Green, Cannery or Ring deployments
• Lead the design of Kafka based data backbones, ensuring data integrity, durability and scalability
• Build and manage a unified monitoring strategy in Grafana, providing deep visibility into business-critical data flows
• Collaborate with data science teams to transition experimental ML models into robust, scalable production services

• 5+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+years of experience in Software Engineering, Data Engineering, or a backend development python development and backend architecture
• Expert level knowledge of Python internals, concurrency (Asyncic/Multiprocessing) and building high performance, memory efficient applications
• Proven expertise in designing and governing enterprise grade CI/CD pipelines and must manage complex code promotions across multi-region environments using GIT hub actions, Git Lab, or Azure DevOps
• Extensive hands-on experience with Apache Kafka (or Confluent), including cluster tuning, schema registry management and designing event driven architectures
• Deep experience with Grafana and Prometheus for full stack observability – defining SLIs/SLOs, custom exporters and complex alerting logic
• Strong understating of the end-to-end ML life cycle, specifically in the deployment and scaling of models using frameworks like BentoML, Ray, or KServe
• Experience in SQL, data modelling, ETL/ELT pipelines, and large-scale data processing
• Good to have knowledge in Terraform, Palumi and container orchestration – Kubernetes, EKS

Knowledge in Terraform, Palumi and container orchestration – Kubernetes, EKS