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Principal Software Engineer

Amazon.com, Inc · Berlin | Deutschland · Onsite

Gehalt auf Anfrage

Gefunden am 05.06.2026

Match

84%

Fit in Skills, Kultur und Entwicklungspfad.

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du hyper-scalable Datenbanklösungen in der Cloud, arbeitest an der Architektur komplexer Systeme und führst technische Standards ein, um die Effizienz und Skalierbarkeit der Anliegen voranzutreiben. Job Zusammenfassung In dieser Rolle entwickelst du hyper-scalable Datenbanklösungen in der Cloud, arbeitest an der Architektur komplexer Systeme und führst technische Standards ein, um die Effizienz und Skalierbarkeit der Anliegen voranzutreiben. Deine Rolle im Team Are you interested in building hyper-scale database services in the cloud? Do you want to revolutionize the way databases are built for the cloud? Do you want to have direct and immediate impact on hundreds of thousands of users who use AWS database services? Amazon Aurora Engine team is looking for experienced technical experts in relational databases, who are excited about building large scale database systems that run across thousands of servers across multiple datacenters worldwide. These are core systems development positions where you will own the design and development of significant system software components critical to our industry leading database services architected for the cloud. As an Amazon Web Services Principal Engineer, you'll be a technical leader. You'll help establish technical standards and drive Amazon's overall technical architecture and engineering practices. You'll work on Amazon's hardest problems, building high quality, architecturally sound systems that are aligned with our business needs. You'll think globally when building systems, ensuring AWS builds high performing, scalable systems that fit well together. Amazon.com Principal Engineers are pragmatic visionaries who can translate business needs into workable technology solutions. Your expertise is deep and broad; you're hands on, producing both detailed technical work and high-level architectural designs. AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Serve as a technical lead on our most demanding, cross-functional projects. Ensure the quality of architecture and design of systems. Functionally decompose complex problems into simple, straight-forward solutions. Fully and completely understand system interdependencies and limitations. Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Leverage knowledge of internal and industry prior art in design decisions. Effectively research and benchmark Amazon technology against other competing systems in the industry. Contribute intellectual property through patents. Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. You are a leader, builder and operator. You have experience leading or contributing to multiple simultaneous product development efforts and/or IT projects and initiatives. You are able to balance technical leadership and savvy with strong business judgment to make the right decisions about technology. You'll strive for simplicity and will demonstrate significant creativity. Unsere Erwartungen an dich Ausbildung Bachelor's degree in computer science or related technical field. Master's degree or higher preferred. Qualifikationen Technical expertise in at least one major technical area: large scale Unix systems engineering, building complex distributed systems, building monitoring or management tools for large-scale environments. Erfahrung 10+ years of relevant experience in relational database internals and systems programming in C/C++ is required. Experience leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack. Project management experience. Experience leading development life cycle process and best practices. Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Middleware, and database related projects. Experience mentoring/training the engineering community on complex technical issues. Passion for customer experience and usability, including successful delivery of customer self-service tools and automated management/optimization of services, and a strong services orientation. 15+ years of relevant experience. Unser Angebot Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Benefits Work-Life-Integration ⏰ Flexible Arbeitszeiten 🧳 Relocation Package Themen mit denen du dich im Job beschäftigst IoT Cloud Computing AI Architecture Metadaten Level: Lead Job Feld: IT, Software, DevOps Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Handel, Internet, IT, Telekom Ort: Berlin | Deutschland

Tech Stack

AWSC++

Warum passt du zu dieser Stelle?

Fit technisch: Stark auf Backend und API-Architektur.

Gaps: Fehlende Tool-Erfahrung in 1-2 Schlüsselbereichen.

Success-Wahrscheinlichkeit: Hoch bei schneller Einarbeitung.