Amazon Web Services (AWS)
Overview
Description: We’re seeking a Principal Solutions Architect who combines deep hands-on technical expertise with the ability to build scalable mechanisms that amplify the effectiveness of our Startup Solutions Architecture team. This role blends builder’s depth with strategic impact: design, code, and operate systems at scale while creating programs, frameworks, and reusable assets that multiply impact across hundreds of startups. Why This Role: At AWS, we’re looking for builders who scale impact. The successful candidate will combine deep technical expertise (hands-on), scalable mechanism design (programs, frameworks, enablement), startup empathy (credible with developers and co-founders), and an AI/data native perspective to help startups turn data into their moat. This role shapes how AWS engages startups at scale and works at the frontier of cloud data AI innovation. Key responsibilities
Technical Leadership & Mechanism Building Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org. Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups. Develop systematic approaches to capture, codify, and share technical insights from the field back into the org. Mentor SAs and drive technical upskilling programs that elevate the entire team’s capabilities. Domain Expertise & Hands-on Impact Principal SAs for startups should have depth and expertise in one of the following technical domains, with curiosity to become proficient in all: ML/AI Infrastructure: design training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/TPU optimization); end-to-end ML pipelines and MLOps workflows; model serving architectures and inference systems. Cloud Native & Kubernetes: lead design and ops for Kubernetes/EKS, service mesh, microservices, and serverless-first architectures; ensure security, compliance, and observability in containerized workloads. DevOps & Reliability: drive GitOps-first workflows, CI/CD at scale, IaC (Terraform/CDK), automated testing frameworks; apply SRE practices for monitoring, incident management, resilience, and scaling. Data Strategy & Foundations: advise startups on data moat strategies (collection, quality, labeling, governance); architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with analytics platforms; enable feature stores, vector databases, and lakehouse patterns; ensure governance and compliance (GDPR, HIPAA, SOC2). Technical Trend Analysis & Strategic Impact Maintain deep understanding of emerging tech trends in GenAI, cloud, and data ecosystems. Translate insights into actionable guidance for startups and scalable mechanisms for the org. Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage. Scaling & Developer Enablement Build repeatable solutions and reference architectures addressing common startup pain points. Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements. Act as a “co-founder whisperer” — translating complex technical trade-offs into pragmatic startup-stage guidance. About The Team
Diverse Experiences: AWS encourages candidates with diverse experiences to apply, even if you do not meet every preferred qualification. Non-traditional paths or alternative experiences are welcome. Why AWS
AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies alike. Work/Life Balance
We value work-life harmony with flexible hours and arrangements as part of our culture. When supported at work and home, we can achieve more in the cloud. Inclusive Team Culture
We foster a culture of learning and curiosity. Employee-led affinity groups and ongoing events promote inclusion and diversity. Mentorship and Career Growth
We aim to be Earth’s Best Employer with ongoing knowledge-sharing, mentorship, and career development resources. Qualifications
Basic Qualifications 12 years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics. Deep technical expertise across ML/AI systems, cloud-native architectures (Kubernetes, microservices, serverless), DevOps/SRE practices, and data engineering/strategy; proficiency in Python, Go, TypeScript, and Java. Proven track record of scaling technical impact via enablement programs, mentoring, and best-practice establishment. Strong technical leadership with experience creating technical content, contributing to open-source, and communicating with audiences from engineers to executives. Comprehensive understanding of AI/ML ecosystems (LangChain, Hugging Face, vLLM, Ray) and cloud-native security, compliance, and observability. Preferred Qualifications Experience building, deploying, and operating systems and infra at hyperscale. Open-source or developer-community contributions. Publications, talks, or thought leadership. Ability to pair-program with a founder and brief a C-suite on trends. EEO statement: Amazon is an equal opportunity employer and does not discriminate on protected status. Additional state-specific notices may apply where required. This position will remain posted until filled. Applicants should apply via our internal or external career site. Company – Amazon Web Services, Inc. | Job ID: A3101057
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Description: We’re seeking a Principal Solutions Architect who combines deep hands-on technical expertise with the ability to build scalable mechanisms that amplify the effectiveness of our Startup Solutions Architecture team. This role blends builder’s depth with strategic impact: design, code, and operate systems at scale while creating programs, frameworks, and reusable assets that multiply impact across hundreds of startups. Why This Role: At AWS, we’re looking for builders who scale impact. The successful candidate will combine deep technical expertise (hands-on), scalable mechanism design (programs, frameworks, enablement), startup empathy (credible with developers and co-founders), and an AI/data native perspective to help startups turn data into their moat. This role shapes how AWS engages startups at scale and works at the frontier of cloud data AI innovation. Key responsibilities
Technical Leadership & Mechanism Building Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org. Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups. Develop systematic approaches to capture, codify, and share technical insights from the field back into the org. Mentor SAs and drive technical upskilling programs that elevate the entire team’s capabilities. Domain Expertise & Hands-on Impact Principal SAs for startups should have depth and expertise in one of the following technical domains, with curiosity to become proficient in all: ML/AI Infrastructure: design training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/TPU optimization); end-to-end ML pipelines and MLOps workflows; model serving architectures and inference systems. Cloud Native & Kubernetes: lead design and ops for Kubernetes/EKS, service mesh, microservices, and serverless-first architectures; ensure security, compliance, and observability in containerized workloads. DevOps & Reliability: drive GitOps-first workflows, CI/CD at scale, IaC (Terraform/CDK), automated testing frameworks; apply SRE practices for monitoring, incident management, resilience, and scaling. Data Strategy & Foundations: advise startups on data moat strategies (collection, quality, labeling, governance); architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with analytics platforms; enable feature stores, vector databases, and lakehouse patterns; ensure governance and compliance (GDPR, HIPAA, SOC2). Technical Trend Analysis & Strategic Impact Maintain deep understanding of emerging tech trends in GenAI, cloud, and data ecosystems. Translate insights into actionable guidance for startups and scalable mechanisms for the org. Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage. Scaling & Developer Enablement Build repeatable solutions and reference architectures addressing common startup pain points. Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements. Act as a “co-founder whisperer” — translating complex technical trade-offs into pragmatic startup-stage guidance. About The Team
Diverse Experiences: AWS encourages candidates with diverse experiences to apply, even if you do not meet every preferred qualification. Non-traditional paths or alternative experiences are welcome. Why AWS
AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies alike. Work/Life Balance
We value work-life harmony with flexible hours and arrangements as part of our culture. When supported at work and home, we can achieve more in the cloud. Inclusive Team Culture
We foster a culture of learning and curiosity. Employee-led affinity groups and ongoing events promote inclusion and diversity. Mentorship and Career Growth
We aim to be Earth’s Best Employer with ongoing knowledge-sharing, mentorship, and career development resources. Qualifications
Basic Qualifications 12 years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics. Deep technical expertise across ML/AI systems, cloud-native architectures (Kubernetes, microservices, serverless), DevOps/SRE practices, and data engineering/strategy; proficiency in Python, Go, TypeScript, and Java. Proven track record of scaling technical impact via enablement programs, mentoring, and best-practice establishment. Strong technical leadership with experience creating technical content, contributing to open-source, and communicating with audiences from engineers to executives. Comprehensive understanding of AI/ML ecosystems (LangChain, Hugging Face, vLLM, Ray) and cloud-native security, compliance, and observability. Preferred Qualifications Experience building, deploying, and operating systems and infra at hyperscale. Open-source or developer-community contributions. Publications, talks, or thought leadership. Ability to pair-program with a founder and brief a C-suite on trends. EEO statement: Amazon is an equal opportunity employer and does not discriminate on protected status. Additional state-specific notices may apply where required. This position will remain posted until filled. Applicants should apply via our internal or external career site. Company – Amazon Web Services, Inc. | Job ID: A3101057
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