Job Description:- Product Cybersecurity Architect Global Product Security The purpose of the Global Product Security group is the enhancement of KGS products and services, and assurance of cyber competitive advantage by driving: Brand reputation and advancement within the product cyber domain. Secure development, continuous improvement and security maturity of products and services. Assurance of secure operations, response, support, and channel engagement for all offerings. Product innovation and differentiation leveraging cybersecurity capabilities and expertise. Responsibilities Supports all phases of secure engineering, support, and development lifecycles in collaboration with multifunctional leaders, stakeholders, contributors, and businesses. Drives secure development principles, practices and activities within engineering and production to help quantify cybersecurity risk, issues, and defects within KGS offerings, such that teams may appropriately characterize, manage, and remediate to standard. Coordinates with engineering to help scope projects, define cybersecurity requirements, perform gap analysis, refine functional requirements, and road map residual cyber risk. Architects’ solutions and designs security controls to meet secure design requirements, support cyber related feature and function development, implement security related modules and solutions, and foster new product development and innovation. Provides subject matter expert guidance on cybersecurity and product development topics. Supports Product Security activities such as threat modeling, security assurance testing, cyber risk assessment, security reviews and threat vulnerability assessment for all offerings. Provides technical leadership, mentorship, and training. Leads business units and projects through security certification and accreditation. Supports ad hoc initiatives within the cybersecurity-engineering domain, as needed. Qualifications Bachelor’s degree or above in Cybersecurity, computer science, software engineering, or equivalent 2 to 5 years SW development exp w/5 years developing secure systems or controls. OR 3 or more years product cybersecurity experience Preferred Qualifications Exceptional cross-functional and multi-domain technical aptitude Diverse technical domain experience (ex., Embedded, Enterprise, Mobile, Cloud, etc.) Excellent cybersecurity depth and breadth knowledge and SW engineering skills Subject matter expertise of secure SW development lifecycle, practices, and activities Strong exp with secure by design principles and architecture level security concepts Working knowledge of common and industry standard cloud-native/cloud-friendly authentication mechanisms (OAuth, OpenID, etc.), deployment orchestration, automation, and security configuration management (CircleCI, Jenkins, Puppet, Chef, Ansible, etc.) Working knowledge on implementing SSL/TLS, PKI, AES, Key management protocols etc. over HTTP/TCP and UDP. Strong understanding of cloud technologies including SaaS, PaaS, and IaaS Experience in security certifications or accreditations such as SOC2, ISO 27001, FedRAMP, etc. Familiarity with cybersecurity standards such as IEC 62443 Certifications proving deep practical knowledge such as CSSLP, CISSP, CCSP, CCSK, AWS Solutions Architect Professional ELIGIBILITY REQUIREMENTS Must be 18 years or older. Must be willing to take a drug test as part of the selection process. Must be willing to submit to a background investigation as part of the selection process. Must be willing to work out of an office in Hyderabad, INDIA Ability and availability to travel occasionally. The candidate must be proficient in spoken and written English. Added IEC 62443 as a nice to have. Additional Job Description Additional Job Description Summary Experienced Cybersecurity professional. Collects data from a variety of Computer Network Defense (CND) tools, including intrusion detection system alerts, firewall and network traffic logs, and host system logs to analyze events that occur within their environment. Minimum Requirements Requires advanced knowledge obtained through a University degree, combined with experience Practical to substantial knowledge of Carrier organization, programs or systems with the ability to make enhancements and leverage in daily work University Degree or equivalent A minimum of 5 years prior relevant experience OR An advanced degree in a related field and a minimum of 3 years experience Kidde Global Solutions (KGS) is one of the world’s largest manufacturers of residential and commercial fire and life safety products. Each day, we work to expand upon our legacy of innovation, providing advanced solutions to protect people and property from fire and related hazards. Today, KGS products are found in homes and businesses around the globe. We bring together the most trusted and iconic brands in safety and security. By building upon our combined experience and expertise, we provide residential and commercial customers with advanced solutions and services to protect people and property in a wide range of applications, all around the globe. Show more Show less

About Kidde Global Solutions: Kidde Global Solutions is a world leader in fire & life safety solutions tailored for complex commercial facilities to homes. Through iconic, industry-defining brands including Kidde, Kidde Commercial, Edwards, GST, Badger, Gloria and Aritech, we provide residential and commercial customers with advanced solutions and services to protect people and property in a wide range of applications, all around the globe. Role: AI and Automation Architect Location: Hyderabad Employment Type: Full-time Experience: 12-18 years Position Overview: We are seeking an innovative and experienced AI and Automation Architect to lead the design and development of intelligent AI and automation solutions by integrating RPA (Robotic Process Automation) bots with AI-driven technologies . The Architect will work closely with cross-functional teams to identify opportunities for automation, design scalable solutions, and drive business efficiency through cutting-edge AI-powered bots. Key Responsibilities: Automation Strategy and Design AI and BOT Integration Solution Development and Deployment using MLOps on AWS Cloud Platform Stakeholder Collaboration Governance and Compliance Innovation and Continuous Improvement Qualifications: Skills and Competencies: Develop and implement enterprise-wide intelligent automation strategies by integrating RPA with AI capabilities (e.g., natural language processing, machine learning). Analyze business processes to identify automation opportunities and recommend solutions. Define and establish automation frameworks and best practices. Architect and deploy AI-enabled bots that integrate with enterprise platforms like Service Now, Workday etc. Collaborate with AI engineers and data scientists to leverage machine learning models in automation workflows. Oversee the development and deployment of bots, ensuring they adhere to quality and security standards. Partner with business teams, IT departments, and process owners to understand automation needs and deliver impactful solutions. Establish MLOps / AIOps frameworks to ensure compliance with organizational and regulatory standards. Ensure automated solutions are secure, auditable, and aligned with data privacy laws (e.g., GDPR, CCPA). Stay updated on emerging technologies in AI and automation and assess their applicability to the organization. Drive continuous improvement in automation processes, leveraging feedback and analytics for optimization. Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, with a specialization in Data Science, ML or AI. Experience: 12+ years of experience in automation, including 3+ years in an architect or leadership role. Platform Development and Evangelism: Build scalable AI platforms that are customer-facing. Evangelize the platform with customers and internal stakeholders. Ensure platform scalability, reliability, and performance to meet business needs. Machine Learning Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining. Implement A/B testing of models. Design APIs for model inferencing at scale. Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving and GPU Architecture: Serve as an SME in LLM serving paradigms. Possess deep knowledge of GPU architectures. Expertise in distributed training and serving of large language models. Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. Model Fine-Tuning and Optimization: Demonstrate proven expertise in model fine-tuning and optimization techniques. Achieve better latencies and accuracies in model results. Reduce training and resource requirements for fine-tuning LLM and LVM models. LLM Models and Use Cases: Have extensive knowledge of different LLM models. Provide insights on the applicability of each model based on use cases. Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. DevOps and LLMOps Proficiency: Proven expertise in DevOps and LLMOps practices.