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Principal Backend Engineer (Node.JS, AWS)
- Baltimore, Maryland, United States
- Baltimore, Maryland, United States
About
Responsibilities
Lead the architectural strategy and delivery of high‑scale full‑stack applications, ensuring alignment with business goals, security standards, and global regulatory requirements.
Architect and implement AI‑augmented development workflows, utilizing tools like GitHub Copilot and Amazon CodeWhisperer to improve team velocity and code quality.
Identify and implement AI‑driven efficiencies in the backend lifecycle, replacing repetitive infrastructure tasks with automated, intelligent workflows.
Define and implement scalable, robust, and maintainable application architectures that support the integration of LLMs and generative discovery features.
Provide technical oversight across multiple squads, performing high‑level architectural reviews to ensure performance, security, and long‑term sustainability.
Drive continuous improvement initiatives in automation and tooling, leveraging generative AI to accelerate technical documentation and system design processes.
Act as a technical mentor and coach, fostering a culture of experimentation and continuous learning in an AI‑augmented environment.
Communicate complex architectural decisions effectively to senior management, ensuring technical strategy aligns with the broader Search business roadmap.
Basic Qualifications
7+ years of hands‑on, professional software development experience with expertise in Node.js and AWS .
Proven experience utilizing AI‑assisted coding tools (e.g., GitHub Copilot, Cursor, or CodeWhisperer) to optimize development cycles and validate complex logic.
5+ years of industry experience working with large‑scale distributed systems and high‑traffic environments.
Expertise in AWS cloud services (Lambda, EC2, S3) and infrastructure‑as‑code.
Strong experience with GraphQL , REST, and the design of maintainable, high‑concurrency APIs.
Hands‑on experience with MySQL and PostgreSQL database technologies, including performance tuning and schema optimization.
Proficiency in frontend frameworks (React or Vue) to support full‑stack delivery goals.
Secondary proficiency in C++ and Python for cross‑functional system integration.
Commitment to staying current on emerging AI tools and proactively suggesting improvements to the engineering tech stack.
BS in Computer Science, or equivalent degree/experience.
Preferred Qualifications
Experience with big data technologies and real‑time data processing.
Experience in prompt engineering or structured interaction with AI models to generate and validate system diagnostics.
Background in performance optimization and scalability planning for global‑scale consumer products.
Experience leading large‑scale digital transformation initiatives, specifically cloud modernization.
Compensation The compensation for this position ranges from $143,625.00 – $299,375.00/yr and will vary depending on factors such as your location, skills, and experience. The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401(k), backup childcare, education stipends, and much more.
Equal Opportunity Employment Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form ( www.yahooinc.com/careers/contact-us.html ) or call +1.866.772.3182 .
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Languages
- English
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