WW Specialist Solutions Architect In-Memory, WWSO Data
Core
Drive adoption of AWS ElastiCache and Valkey in-memory data stores for developers, focusing on caching strategies for modern applications and agentic AI workloads.
Role type
Specialist Solutions Architect (In-Memory & Caching)
Builds
Developer-facing content, sample code, reference architectures, whitepapers, and field enablement materials for AWS caching services.
Domain
Cloud Infrastructure / In-Memory Data Stores / NoSQL / Generative AI
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure
Required skills
NoSQL design and implementation, Key-value store architecture, Caching patterns (cache-aside, write-through, rate limiting), Agentic AI workload optimization, Technical consulting, Public speaking
Preferred skills
AWS Solutions Architect certification, Large-scale enterprise architecture experience, Deep Redis expertise, Database services integration (Aurora, DynamoDB, Kinesis)
Technologies
ElastiCache, Valkey, Redis, Aerospike, Memcached, AWS Lambda, Amazon Aurora, Amazon DynamoDB, Amazon Kinesis, Amazon EC2 Container Service
Responsibilities
Drive ElastiCache and Valkey adoption through hands-on content, workshops, and open-source contributions; Act as the go-to technical expert on caching strategy for latency, scale, and cost; Accelerate the caching layer for agentic AI and GenAI workloads; Represent the voice of the developer to influence product feature development; Provide advanced technical knowledge to GTM teams to unblock critical business challenges; Act as a thought leader through blogs, whitepapers, and public-speaking events; Partner with Business Development to define technical components of GTM concepts; Develop field enablement materials for the broader SA population.
Seniority
Senior, hands-on IC