Backend Engineer
Adobe
Job Overview
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Job Description
About Adobe
As one of the world’s most innovative software companies, Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. Our products touch billions of people globally, from creators and students to global enterprises. Our 30,000+ employees are dedicated to shaping the future and driving growth, believing in a culture where all employees are empowered to make an impact. At Adobe, the next big idea could be yours.
We are on a mission to hire the very best and are committed to crafting outstanding employee experiences where everyone is respected and has equal opportunity. New ideas can come from anywhere in the organization, and the next big idea could be yours!
The Opportunity: Backend Engineer
At Adobe, we empower teams with fast, reliable, and scalable digital infrastructure that transforms large data sets into clear, actionable insights. We are seeking an experienced Backend Engineer to develop and scale the server-side foundation of our advanced benchmark and analytics platform. This critical platform delivers real-time metrics, complex aggregations, customizable dashboards, and dependable data pipelines, enabling all parts of Adobe to 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, serving 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, store session data, handle rate limiting, and support real-time features like pub/sub for live benchmark updates.
- Build and maintain robust data ingestion pipelines, background jobs, and ETL-like processes to reliably feed analytics data into ClickHouse.
- Manage and operate containerized Node.js/Fastify services on Azure Container Apps, including environment setup, 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, Azure Container Apps developments, pertinent Kubernetes ideas, and changing AI-assisted development processes.
Required Qualifications
- Over 4 years of professional experience in backend development, with a minimum of 3 years dedicated to 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 setup, revision management, scaling configuration, traffic routing, and monitoring in production.
- Solid expertise in contemporary JavaScript/TypeScript, asynchronous patterns, error management, and REST/GraphQL API creation in the Fastify environment.
- Hands-on experience in production settings involving ClickHouse and Node.js applications, covering schema optimization, improving query performance, bulk data ingestion, and handling analytical workloads at scale.
- Practical, direct experience working with Redis in Node.js for caching, rate limiting, session stores, queues, and pub/sub patterns.
- Experience configuring secure networking within Azure environments, including VNet integration for Azure Container Apps and VNet peering.
- Familiarity with containerization (Docker), Git, Azure CLI/Portal, and modern IaC/deploy workflows.
- Solid understanding of distributed systems challenges, performance optimization, and data consistency in high-throughput analytics platforms.
- Strong problem-solving skills and ability to debug complex issues across services, databases, and managed container platforms.
Preferred Qualifications
- Experience with real-time data processing (e.g., Kafka or similar for event streaming into ClickHouse).
- Familiarity with observability tools in containerized environments.
- Previous work on internal analytics, benchmark, or observability platforms or large-scale OLAP systems.
- Knowledge of Azure security guidelines.
- Experience working with Infrastructure as Code solutions like Bicep, Terraform, or Pulumi to deploy Azure Container Apps.
What We Offer
- Opportunity to own critical backend components in a high-impact internal platform that powers Adobe's decision-making and innovation.
- Collaborative environment with direct influence on architecture and technology choices in a passionate culture.
- Competitive salary and benefits packages.
Compensation & Benefits
The U.S. pay range for this position is $139,000 -- $257,550 annually. In California, the pay range is $177,900 - $257,550. Pay within this range varies by work location and may depend on job-related knowledge, skills, and experience. Adobe offers a comprehensive benefits program.
Key skills/competency
- Node.js
- Fastify
- ClickHouse
- Redis
- Azure Container Apps
- REST/GraphQL API
- Data Pipelines
- Distributed Systems
- Containerization (Docker)
- TypeScript/JavaScript
How to Get Hired at Adobe
- Research Adobe's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for Backend Engineer: Highlight Node.js, Fastify, ClickHouse, and Azure experience with quantifiable achievements.
- Showcase relevant projects: Prepare to discuss backend development, API design, and data pipeline work in detail.
- Practice technical skills: Sharpen your Node.js, JavaScript/TypeScript, database optimization (ClickHouse), and cloud deployment (Azure) knowledge.
- Understand Adobe's impact: Articulate how your skills align with enabling digital experiences and data-driven decision-making.
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