Backend Engineer - Node.js / Fastify
AdobeSan JosePosted 1 March 2026
Job Description
Our Company As one of the world’s most innovative software companies whose products touch billions of people around the world, Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. From creators and students to small businesses, global enterprises, and nonprofit organizations — customers choose Adobe products to ideate, collaborate, be more productive, drive business growth, and build remarkable experiences. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Job Title: Backend Engineer – Advanced Benchmark Platform Location: San Jose, CA, United States Reports to: Engineering Manager At Adobe, we believe in changing the world through digital experiences. We provide everything needed for crafting and delivering outstanding digital experiences, from emerging artists to global brands. Our team is passionate about empowering people to build beautiful and powerful images, videos, and apps, transforming how companies interact with customers across every screen. We are on a mission to hire the very best. We are committed to crafting outstanding employee experiences where everyone is respected and has equal opportunity. We know new ideas can come from anywhere in the organization, and the next big idea could be yours! At Adobe, we start empowerment internally by providing teams with fast, reliable, and scalable digital infrastructure. This infrastructure transforms large data sets into clear, actionable insights. We seek an experienced Backend Engineer to develop and scale the server-side base of our advanced benchmark and analytics platform. This platform delivers real-time metrics, complex aggregations, customizable dashboards, and dependable data pipelines. It helps all parts of Adobe make faster, more informed decisions and unlock new levels of creativity and efficiency. Key Responsibilities Build and implement scalable REST/GraphQL APIs and internal services using Node.js and Fastify. These will serve benchmark data, aggregations, filters, and real-time updates to the Vue.js front-end. Integrate and optimize queries with ClickHouse using the official @clickhouse/client library for high-throughput analytical workloads. Implement caching strategies with Redis to reduce latency on frequent reads, store session data, handle rate limiting, and support real-time features such as pub/sub for live benchmark updates. Build and maintain robust data ingestion pipelines, background jobs, and ETL-like processes to feed analytics data into ClickHouse reliably. Manage and operate containerized Node.js/Fastify services on Azure Container Apps, including setting up environments, updates, scaling policies, ingress/traffic splitting, secrets, and environment variables. Collaborate with front-end engineers, data analysts, and DevOps to define API contracts, resolve integration issues, and iterate on platform capabilities. Participate in code reviews, contribute to architecture decisions, and write comprehensive unit/integration tests to maintain code quality. Keep up to date with the Fastify ecosystem, Node.js progress, ClickHouse protocols, Redis strategies for analytics scenarios, Azure Container Apps developments, pertinent Kubernetes ideas, and changing AI-assisted development processes. Required Qualifications Over 4 years of professional experience in backend development, including a minimum of 3 years dedicated to working with Node.js in live production settings. Production experience building and maintaining APIs with Fastify in real-world, high-performance applications. Practical experience managing and deploying containerized applications on Azure Container Apps, including environment s ... (truncated, view full listing at source)
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