WW Specialist Solutions Architect In-Memory, WWSO Data
Amazon Web Services (AWS) Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA!
The Worldwide Specialist Organization (WWSO) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market (GTM) plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Within WWSO, this position is part of the Worldwide Specialist Team, where you will be the Subject Matter Expert (SME) for in-memory and caching architectures on AWS - Amazon ElastiCache and Valkey. This is a developer-facing role: your primary mission is to drive ElastiCache and Valkey adoption through the developer community, meeting builders where they are and making it effortless for them to adopt the right caching strategy. Modern applications - and increasingly agentic AI workloads, where low-latency caching is central to token optimization and cost control - depend on getting the data and caching layer right. You will help developers apply proven caching patterns (cache-aside, write-through, rate limiting, session and semantic caching, and more) and position in-memory data stores within the broader NoSQL, purpose-built database strategy that underpins production-scale AI.
You will work closely with the Database Services team, Business Development, and Sales to enable large-scale customer use cases and drive adoption and revenue for AWS. You will build with developers - writing sample code, reference implementations, and demos - and produce whitepapers, blogs, reference architectures, and conference talks that scale your impact across the developer community. You will also create field enablement materials for the broader SA population, helping other SAs understand when and how to integrate AWS caching services into customer architectures. As a trusted advisor with hands-on technical depth in in-memory / NoSQL systems, you will share recommendations around performance, cost, reliability, security, and operational efficiency to accelerate how customers build data-intensive and AI-powered applications on AWS.
Key job responsibilities
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
The Worldwide Specialist Organization (WWSO) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market (GTM) plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Within WWSO, this position is part of the Worldwide Specialist Team, where you will be the Subject Matter Expert (SME) for in-memory and caching architectures on AWS - Amazon ElastiCache and Valkey. This is a developer-facing role: your primary mission is to drive ElastiCache and Valkey adoption through the developer community, meeting builders where they are and making it effortless for them to adopt the right caching strategy. Modern applications - and increasingly agentic AI workloads, where low-latency caching is central to token optimization and cost control - depend on getting the data and caching layer right. You will help developers apply proven caching patterns (cache-aside, write-through, rate limiting, session and semantic caching, and more) and position in-memory data stores within the broader NoSQL, purpose-built database strategy that underpins production-scale AI.
You will work closely with the Database Services team, Business Development, and Sales to enable large-scale customer use cases and drive adoption and revenue for AWS. You will build with developers - writing sample code, reference implementations, and demos - and produce whitepapers, blogs, reference architectures, and conference talks that scale your impact across the developer community. You will also create field enablement materials for the broader SA population, helping other SAs understand when and how to integrate AWS caching services into customer architectures. As a trusted advisor with hands-on technical depth in in-memory / NoSQL systems, you will share recommendations around performance, cost, reliability, security, and operational efficiency to accelerate how customers build data-intensive and AI-powered applications on AWS.
Key job responsibilities
- Drive ElastiCache and Valkey adoption across the developer community - through hands-on content, sample code, workshops, hackathons, open-source contributions, and developer events.
- Be the go-to technical expert on caching strategy and in-memory data patterns, helping developers and customers choose and implement the right approach for latency, scale, and cost - including caching for agentic AI and GenAI workloads.
- Accelerate the caching layer for agentic AI; help developers use ElastiCache/Valkey for agent token optimization, semantic caching, session/short-term memory, and rate limiting, positioning in-memory data stores as core infrastructure in the pilot-to-production journey for GenAI and agentic workloads.
- Represent the voice of the developer and customer; bring feedback to product teams to influence ElastiCache/Valkey feature development and the future roadmap.
- Provide advanced technical knowledge to your domain-aligned GTM teams to unblock our customers' largest and most critical business challenges.
- Act as a thought leader, sharing best practices through AWS blogs, whitepapers, reference architectures, and public-speaking events such as AWS Summit and AWS re:Invent.
- Partner with Business Development teams to define the technical components of best-in-class GTM concepts, solutions, and initiatives.
- Develop and support an AWS internal community of technical subject matter experts worldwide.
- Create field enablement materials for the broader SA population, to help them integrate AWS caching services into customer architectures.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Basic Qualifications
- 5+ years design and implementation experience with NoSQL technologies and Key-value stores such as ElastiCache, Aerospike, Redis, Memcached, including NoSQL data modeling.Preferred Qualifications
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
- Deep knowledge of and experience with Redis.
- Hands-on experience with services related to databases highly desirable, particularly Amazon Aurora, Lambda, Amazon Elasticache, Amazon OpenSearch, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Amazon Kinesis, etc.