Software Development Engineer – Data & Cloud Engineering
About The Position
Join Adobe’s mission to help shape the future of data-driven experiences. We are looking for a Software Development Engineer with a strong foundation in software engineering and an interest in scalable data platforms and cloud technologies. This role is ideal for someone who enjoys building reliable applications and working with modern data systems in a collaborative environment. You’ll work alongside engineers, product teams, and data specialists to develop scalable solutions that support Adobe’s next-generation platforms. At Adobe, we value creativity, collaboration, ownership, and continuous learning. We foster an inclusive culture where people are encouraged to grow, contribute ideas, and do their best work.
Requirements
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field.
- 3–5 years of software development experience with strong coding skills in Java, C++, or similar programming languages.
- Experience working with data processing frameworks such as PySpark or Spark.
- Familiarity with cloud platforms such as AWS or Azure.
- Solid understanding of foundational topics in computer science such as algorithms, data structures, and system development.
- Strong problem-solving and debugging skills.
- Familiarity with software development best practices, version control, and testing.
- Effective written and verbal communication skills.
Nice To Haves
- Exposure to distributed systems or large-scale data processing environments.
- Familiarity with containerization technologies such as Docker or Kubernetes.
- Experience with performance optimization or monitoring tools is a plus.
Responsibilities
- Design, develop, test, and maintain scalable applications and services across client-side or server-side environments.
- Contribute throughout the software development lifecycle including coding, testing, debugging, deployment, and support.
- Apply core computer science fundamentals including algorithms, data structures, and software design principles.
- Fix and resolve production issues with guidance from senior team members when needed.
- Write clean, maintainable, and efficient code.
- Develop and support PySpark jobs and data processing workflows for large-scale datasets.
- Work with distributed data technologies and cloud-based technologies like Hadoop, Databricks, AWS, or Azure.
- Help improve data pipelines, monitoring, and operational reliability.
- Partner with engineering, product, and analytics teams to deliver impactful solutions.
- Communicate progress, share ideas, and collaborate effectively within the team.
- Contribute to a culture of learning, innovation, and continuous improvement.
Benefits
- comprehensive benefits programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
