Urgent Search Technologist, Software Development Engineering

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today s needs and tomorrow s next big ideas With a rich history of groundbreaking innovations in Flash and advanced memory technologies our solutions have become the beating heart of the digital world we re living in and that we have the power to shape Sandisk meets people and businesses at the intersection of their aspirations and the moment enabling them to keep moving and pushing possibility forward We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation performance and quality Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations With our global reach we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward Position Overview We are seeking a seasoned Senior AI Infrastructure Engineer specializing in AI-driven automation Kubernetes orchestration and containerized AI ML workloads This role focuses on architecting intelligent systems that leverage AI agentic workflows for automated product validation and testing at scale through advanced container orchestration Key Responsibilities AI Workflow Architecture Implementation Design and implement AI-driven test creation systems that automatically generate comprehensive test cases using machine learning models and historical data analysis Architect intelligent monitoring solutions leveraging AI ML algorithms to predict system failures optimize test coverage and enable proactive issue resolution Develop autonomous testing agents capable of adaptive test execution self-healing infrastructure and intelligent decision-making Integrate large language models LLMs and AI decision-making frameworks into automated test orchestration workflows Build AI pipelines that analyze product performance data to continuously improve validation strategies Kubernetes Container Orchestration Design implement and optimize Kubernetes clusters specifically for AI ML workloads and containerized testing environments Develop custom Kubernetes operators and controllers for AI workflow management and automated container lifecycle operations Architect scalable container orchestration solutions supporting both AI model inference and training workloads across diverse hardware configurations Implement advanced Kubernetes patterns including multi-cluster management resource optimization and intelligent workload scheduling Design container-native AI platforms with automated scaling resource allocation and performance optimization Design and implement comprehensive monitoring solutions using Prometheus Grafana and related CNCF tools Technical Leadership AI System Architecture Lead a team of 3-5 engineers specializing in AI ML infrastructure container platforms and intelligent automation systems Drive architectural decisions for complex AI-driven projects involving containerized workloads and intelligent system integration Establish best practices for AI workflow development container security and MLOps processes Mentor team members on advanced Kubernetes patterns AI system design and containerization strategies for ML workloads Qualifications Experience Technical Skills BE B Tech ME M Tech degree in Electronics Electrical Engineering Computer Engineering or related field 10-14 years of overall professional experience 5 years of hands-on experience with Kubernetes in production including custom operators controllers and AI ML workload management 4 years of experience implementing AI ML workflows in production environments particularly for automation and intelligent testing 3 years of experience in containerized application development and container orchestration for AI ML systems Proven track record of leading technical teams 3-5 people and delivering AI-driven infrastructure projects Core Technical Competencies Expert-level Kubernetes expertise K8s Helm custom operators resource management and ML-specific configurations Advanced AI ML framework proficiency TensorFlow PyTorch LangChain MLflow or similar tools and AI model deployment patterns Strong programming skills Python Go or Rust with focus on AI workflow development and container Docker orchestration AI system architecture Experience with agentic AI systems LLM RAG integration and intelligent automation frameworks Leadership Communication Demonstrated ability to lead cross-functional teams focused on AI infrastructure and intelligent system development Strong project management skills with experience delivering AI-driven automation projects Excellent technical communication skills with ability to explain complex AI and container concepts to diverse stakeholders Experience mentoring engineers in AI system design Kubernetes administration and containerization best practice Additional Information Sandisk thrives on the power and potential of diversity As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process Please contact us at to advise us of your accommodation request In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying