Senior SOC Engineer (AI & Automation) at CPX

, , -

Full Time

Start Date

Immediate

Expiry Date

09 May, 26

Salary

0.0

Posted On

08 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Solutions, Backend Development, Distributed Systems, Python, Typescript, Node.js, MLOps, CI/CD, Cloud-Native Technologies, Azure, Security, Data Protection, Automation, API Development, Observability, Generative AI, Technical Collaboration

Industry

Computer and Network Security

Description

Overview: 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, productionizing ML/GenAI solutions, and building scalable backend services to optimize incident response and operational efficiency. You will leverage cloud-native technologies (Azure), DevOps practices, and MLOps tools to implement secure, compliant deployments, including vector search and RAG pipelines. Collaboration with cross-functional teams and mentoring junior engineers are integral to this position Responsibilities: Responsibilities: Automation and AI technologies Management: Develop, implement, and maintain AI-driven full-stack solutions that enhance user experiences and optimize internal workflows. Backend Services & API Development: Develop and operate scalable backend services and APIs for AI/ML workloads using languages such as Python, Typescript, Node.js etc. AI/ML Platform Evolution: Build and enhance platform components such as, feature and embeddings stores, vector search/semantic search infrastructure, evaluation dashboards, prompt/version management, and feedback loops. Security & Responsible AI: Implement security, data protection, and responsible AI guardrails, ensuring safe and compliant use of models and data. Cloud-Native & DevOps Practices: Apply best practices using, Azure and on-prem containerization, CI/CD pipelines (Azure Devops / Gitlab). Infrastructure-as-Code for scalable deployments. Cross-Functional Collaboration: Work closely with Product, Data Science, Data Engineering, Design, and DevOps/SRE teams to translate business problems into robust technical solutions. Integration and Orchestration: Integrate Automation and AI technologies with existing SOC tools and technologies, orchestrating workflows across disparate security systems for seamless response coordination. Performance Monitoring and Optimization: Monitor the performance of the Automation and AI technologies, identifying and addressing any issues or bottlenecks to ensure optimal functionality and reliability. Documentation and Training: Maintain comprehensive documentation of AI workflows, configurations, and procedures. Provide training and guidance to internal users and engineers. Qualifications: Skills: Proven hands-on experience deploying AI/ML and Generative AI solutions in production environments, including fine-tuning, and integrating transformer-based models, as well as designing and implementing RAG pipelines and advanced semantic search systems. Proficiency in programming experience in Python, Typescript, and scripting for automation. Experience with MLOps, including CI/CD for ML workflows, model deployment, and monitoring performance and data drift. Expertise in one or more AI/ML frameworks and tools such as Hugging Face Transformers, Agno AI, LangChain, 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). Experience with MLOps, including CI/CD for ML workflows, model deployment, and monitoring performance and data drift. Certifications: Any certification in AI and ML technologies. Any certification in platform and automation is a plus. Educational Experience: Bachelor’s or master’s degree in computer science, Information Technology, Cybersecurity, or related field. A minimum of 7 years of experience in software engineer with strong exposure in machine learning, backend development and distributed systems. Prior experience in a technical role within a cybersecurity domain is preferred.

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Responsibilities

The Senior SOC Engineer will design, deploy, and manage AI-powered automation workflows while building scalable backend services to enhance incident response. Collaboration with cross-functional teams and mentoring junior engineers are key aspects of this role.