The goal is private connectivity that keeps pace with AI. Inference platforms, agentic systems, and ML pipelines now provision and reconcile connectivity continuously, at machine speed, and move far more data over it. The limits in our way are structural, not numbers we can raise. The read path, the tenant isolation model, the provisioning architecture, and how bandwidth scales with demand are all open decisions, and you will make several of them.
We have built real agentic tooling for migration, test generation, and operational analysis. You will use it and extend it.
Key job responsibilities
Shape the product vision for private connectivity in AI-native environments, working directly with AWS service teams and large external partners on what they need from us next.
Own the architecture and delivery of core components of the next generation of PrivateLink, across both the control plane and the data plane, targeting 20x current scale.
Make the foundational design decisions that are still open, and bring AWS service teams and senior engineers along with them.
Build for multi-tenant isolation and fairness, and scale capacity with demand rather than manual intervention, so one customer's growth never becomes another customer's latency.
Execute against live production traffic with no maintenance window, operate what you build, and extend the team's agentic tooling for migration, test generation, and operational analysis.
About the team
The AWS PrivateLink team builds and operates the technology that enables customers to securely access AWS services, third-party applications, and their own services over the Amazon VPC network—without exposing traffic to the public internet. As a Sr. SDE on this team, you'll design and scale highly available, low-latency networking infrastructure that powers private connectivity for millions of endpoints worldwide. You'll tackle complex distributed systems challenges, drive architectural decisions, and mentor engineers—all while helping customers simplify their network security posture at cloud scale.
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
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
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
