招聘
必备技能
Python
Docker
Spark
Machine Learning
Adobe is looking for a Software Development Engineer who specializes in data and AI to build scalable, high-performance data processing systems in the Customer Experience Orchestration Unit.
In this role, you will develop distributed data pipelines, APIs, data services, and solutions powered by artificial intelligence that are reliable, secure, and production-ready. You will help build data-focused architectures that enable smart features and enhanced customer experience capabilities. You will collaborate closely with engineering, product management, development, and business partners in Basel and work with global teams across the United States, UK, and India. You will operate with a high level of autonomy and contribute to creating resilient, scalable data platforms that support customer experiences.
What you’ll do
- Build and deliver scalable ETL/ELT pipelines, APIs, and distributed data processing solutions that are secure, reliable, and production-ready
- Translate business requirements into clear technical builds and well-structured data models
- Build and implement RESTful APIs and backend services, supporting deployment in containerized and cloud-based environments (e.g., Docker and related orchestration platforms)
- Apply strong data engineering practices, including scalable data modeling, efficient data transformation, reliable pipeline orchestration, and data quality controls
- Participate across the full software development lifecycle, from building and implementation to testing, deployment, and operational support
- Rapidly prototype innovative concepts and evaluate new technologies and industry trends to inform future improvements
- Compose and develop intelligent solutions centered around data-focused architectures, including feature engineering, model integration, and scalable data foundations to support smart customer experience capabilities
What you need to succeed
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 3-8 years of experience in data engineering or backend software development, including live production settings
- Adept in Python programming with a background in building APIs and scalable data services
- Experience architecting, implementing, and maintaining distributed ETL/ELT pipelines in up-to-date cloud-based data infrastructures
- Solid understanding of data modeling, distributed processing concepts (e.g., Spark), and performance optimization at scale
- Experience in crafting and developing solutions powered by artificial intelligence and machine learning. A strong data engineering foundation is required, covering feature engineering, model integration, and scalable pipelines for smart applications.
- Experience with containerized deployment environments and modern CI/CD practices
- Strong analytical thinking skills and the ability to communicate technical concepts effectively in English
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
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.
Let’s Adobe together:
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
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关于Adobe

Adobe
PublicAdobe Inc., formerly Adobe Systems Incorporated, is an American multinational computer software company based in San Jose, California.
10,001+
员工数
San Jose
总部位置
$126B
企业估值
评价
2.9
2条评价
工作生活平衡
3.0
薪酬
3.2
企业文化
2.5
职业发展
2.3
管理层
2.5
25%
推荐给朋友
优点
Competitive base salary for new graduates
Good entry-level compensation in major markets
Established company with financial stability
缺点
Limited skill transferability to other tech stacks
Unclear compensation competitiveness
Negative reviews and limited information about AEM
薪资范围
751个数据点
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Business Intelligence Analyst
322份报告
$136,020
年薪总额
基本工资
$111,710
股票
$16,134
奖金
$8,176
$97,231
$194,603
面试经验
3次面试
难度
3.3
/ 5
面试流程
1
Application Review
2
Online Assessment (HackerRank)
3
Technical Interview
4
Coding Rounds
5
System Design Interview
6
Behavioral Interview
7
Team Matching
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
GenAI/ML Concepts
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