Senior SOC Engineer (AI & Automation) – CPX
As a Senior SOC Engineer specializing in AI/ML, Backend development, and Distributed systems, you will drive innovation to strengthen our Security Operations Center capabilities. This role involves designing, deploying, and managing AI-powered automation workflows, product ionizing ML/GenAI solutions, and building scalable backend services to optimize incident response and operational efficiency. You will leverage cloud-native technologies (Azure), Dev Ops practices, and MLOps tools to implement secure, compliant deployments, including vector search and RAG pipelines, and will collaborate with cross-functional teams while mentoring junior engineers.
Responsibilities- Develop, implement, and maintain AI-driven full‑stack solutions that enhance user experiences and optimize internal workflows.
- Develop and operate scalable backend services and APIs for AI/ML workloads using languages such as Python, Typescript, Node.js, etc.
- Build and enhance platform components such as feature and embedding stores, vector search/semantic search infrastructure, evaluation dashboards, prompt/version management, and feedback loops.
- Implement security, data protection, and responsible AI guardrails, ensuring safe and compliant use of models and data.
- Apply best practices using Azure and on‑prem containerization, CI/CD pipelines (Azure Dev Ops / Git Lab), and infrastructure‑as‑code for scalable deployments.
- Work closely with Product, Data Science, Data Engineering, Design, and Dev Ops/SRE teams to translate business problems into robust technical solutions.
- Integrate automation and AI technologies with existing SOC tools and orchestrate workflows across disparate security systems for seamless response coordination.
- Monitor performance, identify and address issues or bottlenecks to ensure optimal functionality and reliability.
- Maintain comprehensive documentation of AI workflows, configurations, and procedures, and provide training and guidance to internal users and engineers.
- Proven hands‑on experience deploying AI/ML and Generative AI solutions in production environments, including fine‑tuning and integrating transformer‑based models, and designing and implementing RAG pipelines and advanced semantic search systems.
- Proficiency in programming with Python, Typescript, and scripting for automation.
- Experience with MLOps, including CI/CD for ML workflows, model deployment, monitoring performance, and data drift.
- Expertise in AI/ML frameworks and tools such as Hugging Face Transformers, Lang Chain, MLflow, vLLM, Ollama, or equivalent platforms for model deployment and orchestration.
- Experience building and managing distributed, scalable services with robust observability (metrics, logs, traces, dashboards, alerts).
- Any certification in AI and ML technologies.
- Any certification in platform and automation is a plus.
- Bachelor’s or master’s degree in Computer Science, Information Technology, Cybersecurity, or related field.
- A minimum of 7 years of experience as a software engineer with strong exposure to machine learning, backend development, and distributed systems.
- Prior experience in a technical role within a cybersecurity domain is preferred.
Mid‑Senior level
Employment TypeFull‑time
Job FunctionEngineering and Information Technology
IndustriesComputer and Network Security
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