Amazon Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. Aurora DSQL provides active-active high availability, delivering strong data consistency designed for 99.99% single-Region and 99.999% multi-Region availability. Aurora DSQL automatically manages and scales system resources, so you don't have to worry about maintenance downtime, provisioning, patching, or upgrading infrastructure.
The Aurora DSQL JumpStart team is revolutionizing how developers build applications with databases, especially in the agentic era. We're making DSQL easy for AI-assisted development by creating frictionless developer experiences, building integrations with modern development tools, and establishing DSQL as a leading database integrated with frameworks and AI coding assistants.
As a Senior Engineer on the JumpStart team, you'll lead technical strategy at the intersection of database technology and developer experience. You'll own the architecture and delivery of tools, documentation, integrations, and user interfaces that enable millions of developers—both human and AI agents—to successfully build applications on DSQL. You'll lead projects requiring work from multiple engineers, drive technical decisions that shape how developers interact with DSQL, and mentor team members to deliver exceptional developer experiences.
An ideal candidate has deep experience building developer platforms, SDKs, or developer-facing products at scale, understands both backend systems and front-end user experiences, and has led teams through complex technical challenges. You'll define technical strategy for AI coding assistant integrations, establish patterns for building AI-ready documentation and tools, and drive consensus across teams on developer experience improvements. You're comfortable leading architecture discussions, making trade-offs between short-term delivery and long-term maintainability, and influencing product direction through technical leadership.
Key job responsibilities As a senior technical leader, you'll drive impact across the JumpStart team and influence the broader DSQL organization. You'll bring deep expertise in developer experience, AI-assisted development, and technical leadership. You'll also:
- Lead the technical strategy and architecture for developer tools, SDKs, console features, and AI integrations
- Own team-level architecture for the JumpStart platform, providing system-wide design guidance and influencing team strategy
- Lead multi-engineer projects to build authentication systems, ORM adapters, database drivers, and console experiences
- Establish patterns and best practices for creating AI-ready documentation, code samples, and developer tools
- Partner with ISVs and framework providers to architect DSQL integrations at scale
- Define and implement mechanisms to measure, benchmark, and continuously improve developer experience
- Mentor and coach multiple engineers on the team, helping them grow their technical and leadership skills
- Influence product roadmap and prioritization based on developer needs and technical constraints
- Lead design reviews for the team and actively participate in design reviews for related teams
A day in the life You'll lead strategic initiatives that shape how millions of developers experience DSQL. You might spend your morning architecting a new authentication framework that works seamlessly across all major ORMs, afternoon leading a design review for ISV integration patterns, and evening mentoring an engineer on building effective AI tool integrations. You'll:
- Drive technical decisions that balance immediate developer needs with long-term platform scalability
- Lead cross-team initiatives, influencing multiple teams' roadmaps to improve the end-to-end developer experience
- Work closely with product management to translate customer feedback into technical strategy
- Proactively identify and resolve architecture deficiencies that create friction for developers
- Set the technical direction for how DSQL becomes the database of choice for agentic development
- Participate in hiring, performance evaluations, and career guidance for team members
About the team The JumpStart team is dedicated to making DSQL an easy to use database for agentic developers. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates rapid iteration, customer obsession, and knowledge-sharing. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help you develop expertise in developer experience, AI-assisted development, and full-stack engineering.
About AWS AWS values diverse experiences. Even if you do not meet all of the preferred 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.
Why AWS? 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.
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Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- Master's degree in computer science or equivalent
- 7+ years of non-internship professional software development experience
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience debugging, profiling, and implementing best software engineering practices in large-scale systems
- Knowledge of system performance, memory management, and parallel computing principles
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually