Work directly with business stakeholders to translate between data and business needs, analyze results, and communicate findings to senior leadership in the Tokyo-based Japan Central Ops role.
About this role
This senior security solutions architect is the technical counterpart to a Security Sales Specialist in AWS’s Japan field security team. The role helps enterprise customers assess security across AWS, other clouds, on-premises environments and endpoints, and adopt AWS services and ISV integrations. It combines customer-facing pre-sales with architecture and hands-on prototyping around Security Hub. Work includes technical workshops, proof-of-value engagements configured against customer environments, and security architectures for hybrid and multi-cloud estates. The architect discusses designs with both CISOs and engineering teams, coordinates with sales and ISV partners, helps carry successful evaluations toward production, and shares reference architectures and customer feedback with AWS product teams. Applicants need 5+ years in security pre-sales, sales engineering or security-domain product work; hands-on depth in at least one security area, such as TDIR or AppSec; PoV/PoC delivery experience; and the ability to manage security topics with executive and engineering stakeholders.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Develop machine-learning models, run experiments, and analyze large-scale data to improve product discovery, search relevance, personalization, and GenAI/LLM-powered customer experiences.
Lead software development from requirements through release and maintenance, improve architecture and development processes, and support team growth across GO's mobility products. The role may involve hands-on implementation, people management, and generative AI adoption.
Build and validate a new AI product by exploring customer problems, prototyping and improving solutions, and driving customer acquisition and adoption with engineering, design and business teams.
Leads enterprise AI implementations from requirements to production, designing architecture, data connectivity, and RAG pipelines while guiding technical standards in a hybrid Tokyo role.