What You'll Be Doing

Design, build and operate complex features in a large-scale, multi-cloud, microservices-based SaaS product.
Lead application, framework and service design efforts, optimizing for quality, testability, scalability and performance.
Work on query execution, Spark SQL, query optimization, and orchestration of compute workloads across multiple engines and clouds.
Prototype new approaches and deliver production solutions at scale; research new technologies and keep up with industry trends.
Partner with Product Management, Design, Data Science and engineering teams across domains including US counterparts.
Provide guidance in architecture, design and code reviews; mentor teammates and promote good engineering practices and continuous learning.
Participate in on-call activities on a follow-the-sun rotation with the team.
Contribute to open-source projects where relevant.

Requirements

B.S. in Computer Science or equivalent engineering degree, and/or 3+ years of relevant experience building software systems.
Strong programming skills in Java and/or Scala, with solid grasp of OOP, functional programming and design patterns.
Proven expertise with distributed data processing: Apache Spark (including Spark SQL), Databricks, Delta Lake or equivalent Lakehouse technologies.
Good understanding of SQL, query engines and query optimization, table formats and schema evolution.
Hands-on experience with performance optimization, large-scale cluster tuning and efficient big data architectures.
Experience building scalable, resilient backend services and REST APIs.
Experience with cloud platforms (AWS and/or Azure).
Demonstrated experience delivering and operating a high-quality SaaS solution including testing, CI/CD, monitoring, infrastructure as code.
Experience implementing observability best practices (monitoring, logging, tracing) in distributed systems.
Ability to quickly learn new technologies, with emphasis on AI coding agents and agentic ecosystem to boost productivity.
Problem-solving mindset with ability to diagnose root causes, and attention to security and performance issues.
Commitment to quality in both code and testing.
Very good written and verbal communication skills in English.

Experience with Kubernetes, Docker and infrastructure tooling (Terraform, ArgoCD).
Experience with multiple compute engines or orchestration frameworks (e.g. Ray/Anyscale, Flink, YARN).
Python skills and experience building LLM-based agents or tools.
Experience with Kafka, NoSQL databases (e.g. Cassandra, HBase) or Iceberg.
Familiarity with PostgreSQL / JDBC protocols or BI tool integrations.
Familiarity with monitoring tools such as Splunk, Prometheus, Grafana or New Relic.
Experience with Agile / Scrum methodologies.

Opportunity to solve hard distributed-systems problems at petabyte scale for some of the world’s largest brands.
Work with cutting-edge technologies including Spark, Databricks, Delta Lake, Ray and AI agents.
Have direct impact on the whole Adobe ecosystem as AEP powers Adobe’s products.
Join a growing team with a shared global roadmap and participate in a follow-the-sun on-call model.