Design and deliver AWS-based integration architectures for Vantive’s clinical, operational, and commercial systems.
Compensation
The estimated base salary for this position is $124,000 to $170,000 annually. The estimated range is meant to reflect an anticipated salary range for the position. This position may also be eligible for discretionary bonuses.
Responsibilities
Design and implement AWS-based architectures for integration workloads connecting clinical, supply chain, and enterprise systems
Develop integration patterns including API design, event-driven messaging, and data synchronization across Vantive's application landscape
Contribute to architectural standards, design patterns, and technical documentation
Collaborate with senior architects to translate business and clinical requirements into technical solutions
Evaluate and recommend appropriate AWS services for specific use cases
Requirements
Bachelor’s degree in computer science, Engineering, or related field (or equivalent practical experience)
The AWS China Mainland and Hong Kong (CMHK) Marketing team is looking for a Developer Marketing Manager who is equal parts content creator and community connector.
Locations (3)
Shanghai, China
Beijing, China
Shenzhen, China
Responsibilities
Create and publish high-quality developer-facing content across social platforms: vlogs, technical blogs, demo videos, short-form videos, and social posts
Bring creative, thumb-stopping ideas to content and program design
Build and maintain relationships with 3P developer communities
Collaborate with product marketing, field marketing, tech teams, PR, and business teams to align content and community efforts
Support the planning and execution of developer programs such as hackathons, workshops, competitions
Lead the end-to-end planning, execution, and amplification of developer marketing programs to drive awareness and adoption of AWS services across developer and builder audiences in Greater China.
Locations (3)
Shanghai, Shanghai, People's Republic of China
Beijing, Beijing, People's Republic of China
Shenzhen, Shenzhen, People's Republic of China
Responsibilities
Define the developer marketing strategy for Greater China and drive end-to-end delivery of programs: scoping, planning, cross-functional coordination, execution, promotion, and post-program analysis.
Set the bar for technical depth - design hackathon problem statements, set up hands-on lab environments, and build sample applications on AWS services to demonstrate real-world use cases.
Coordinate across product marketing, field marketing, tech teams, PR, and business teams to ensure programs ladder up to broader GTM goals.
Design and implement enterprise-wide security architectures for cloud, application, and infrastructure platforms.
Lead security architecture reviews and threat modeling assessments for complex business applications and cloud environments.
Define and enforce security controls within CI/CD pipelines, including Infrastructure-as-Code (IaC) frameworks such as Terraform Sentinel.
Develop security standards aligned with industry best practices and frameworks including NIST, OWASP, STRIDE, CIS Benchmarks, ISO 27001, SOX, and FedRAMP.
Architect and implement secure identity and access management (IAM) solutions, authentication and authorization controls, encryption standards, and key management processes.
Requirements
Bachelor's or Master's degree in Computer Science, Cybersecurity, Information Technology, or a related discipline.
Own end-to-end responsibility for designing optimized compute infrastructure for large-scale AI and machine learning systems, including large-scale distributed training environments.
Responsibilities
Own the end-to-end architecture and design of optimized compute infrastructure for large-scale AI/ML systems, including large-scale distributed training environments, from concept through delivery.
Develop and evaluate architecture alternatives, weighing trade-offs across compute, networking, storage, orchestration, and model serving to make rational, well-justified decisions tailored to each client’s situation and standards.
Lead architecture assessments and reviews of existing and proposed environments, identifying gaps, risks, bottlenecks, and optimization opportunities, and recommending remediation.
Drive architectural decision-making, documenting rationale, trade-offs, and assumptions so decisions are transparent, defensible, and aligned with business SLAs and standards.
Define and maintain the AI infrastructure roadmap, planning capacity, scaling, and technology evolution in step with business and product goals.
Requirements
Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field
Principal AI Infrastructure Architect responsible for designing and deploying large‑scale AI/ML infrastructure, leading technical vision, architecture decisions, and client advisory across hyperscaler cloud platforms.
Responsibilities
Set overarching technical vision and strategy for compute infrastructure supporting large‑scale AI/ML systems
Own complex architecture decisions across compute, networking, storage, orchestration, and model serving
Prototype large‑scale, cost‑optimized compute and distributed training systems
Define reference architectures, standards, and patterns
Lead enterprise‑scale architecture assessments and design reviews
Lead end-to-end AI system design and architecture for a major Generative AI platform, ensuring secure, resilient, compliant, and scalable solutions across cloud platforms.
Compensation
Salary Range: $90,000 - $157,500 Annual
Responsibilities
Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
Define and implement reference architectures, design standards, integration contracts, and non-functional requirements (NFRs) for the platform area.
Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
Design solutions leveraging cloud architecture principles on AWS, Azure, or Google Cloud, ensuring interoperability, scalability, observability, and operational readiness.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
Build and maintain engagement with 3P developer communities - open-source organizations, tech media with community reach, and influencer-led developer groups.
Savvy in producing developer-facing content across formats: technical blogs, vlogs, demo videos, and social posts.
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