Senior Full Stack Software Engineer, Marketing Platforms

at Nvidia

USD 224,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 7 AWS @ 4 Angular @ 6 Automated Testing @ 4 CI/CD @ 4 Cucumber @ 4 Data Modeling @ 4 Debugging @ 4 Distributed Systems @ 7 Git @ 4 Java @ 7 JavaScript @ 6 Kubernetes @ 4 LLM Leadership @ 6 Load Testing @ 4 Machine Learning @ 4 Marketing @ 7 Mentoring @ 6 NoSQL @ 4 Observability @ 4 Playwright @ 4 Profiling @ 4 Python @ 6 RAG React @ 6 SQL @ 4 Security Selenium @ 4 Spring Boot @ 7 Technical Leadership @ 6 TypeScript @ 6

Details

NVIDIA is looking for a Senior Software Engineer with deep backend engineering experience to design, build, and operate platforms supporting NVIDIA Marketing. The role owns scalable backend services, distributed systems, and data integrations for customer profiles, consent, personalization, and campaign operations. It includes end-to-end ownership from architecture and development through deployment and production operations, as well as collaboration with product, design, marketing, and engineering teams.

Responsibilities

Architect, develop, and operate scalable backend services and distributed systems for customer profiles, consent, personalization, and campaign operations.
Build APIs, service boundaries, data models, and event-driven workflows while balancing consistency, availability, latency, efficiency, and operational complexity.
Develop dependable data integrations using relational and NoSQL databases, messaging systems, caching, and search, with a focus on data integrity, schema evolution, and failure recovery.
Develop responsive, accessible user interfaces and integrate them with platform APIs to support data exploration, configuration, and marketing workflows.
Lead architecture decisions, align partner teams on interfaces and integration plans, and mentor engineers through design and code reviews.
Partner with product, design, and marketing teams to translate business needs into technical solutions.
Own production readiness and operations, including automated testing, CI/CD, deployments, observability, security, capacity planning, and incident resolution.
Modernize services through safe migrations and rollouts.
Gain specialized knowledge in applied AI and support the development of AI-enabled features and agents as product demands evolve.

Requirements

Bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
12 or more years of software engineering experience, including substantial ownership of production backend services.
Deep knowledge of distributed systems and scalable architecture, including service decomposition, concurrency, consistency, asynchronous processing, caching, fault tolerance, and resilience.
Strong hands-on backend development skills in Java with Spring Boot or a comparable framework, including API development, authentication, authorization, and service-to-service integration.
Solid database knowledge, including SQL, relational and NoSQL data modeling, indexing, transactions, schema migrations, and performance tuning.
Experience operating production services on cloud infrastructure using containers, automated testing, Git, CI/CD pipelines, observability, and detailed debugging.
Hands-on frontend development skills in JavaScript or TypeScript and React or Angular, including component development, state management, API integration, and responsive, accessible interfaces.
Demonstrated technical leadership and end-to-end ownership, including turning ambiguous requirements into architecture and delivery plans, driving cross-team projects, communicating tradeoffs, and mentoring engineers.
Enthusiasm for AI-based applications and readiness to learn and contribute to AI feature and agent development. Prior AI or machine learning experience is not required.

Preferred Qualifications

Experience scaling high-throughput or low-latency services through load testing, profiling, query optimization, caching, and capacity planning.
Background with customer data platforms, identity resolution, consent management, audience activation, or personalization, including privacy practices for user data.
Experience with AWS or another major cloud platform, Kubernetes, messaging or streaming platforms, and complex service or database migrations.
Experience building enterprise web applications or reusable UI components, with automated checks and tools such as Selenium, Cucumber, Playwright, or Cypress.
Background with Python, AI-powered applications, large language models, retrieval-augmented generation, tool-using agents, recommendations, or NVIDIA AI software.

Benefits

NVIDIA offers competitive salaries, a comprehensive benefits package, equity, and benefits for employees and their families. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.