Senior Backend Engineer (Evergreen)

Requirements

• Bachelor’s degree in computer science (or equivalent) and 5 – 10+ years of backend software engineering experience.
• Strong knowledge of JVM languages (Java, Scala, or Kotlin) and deep experience in crafting and operating SaaS/cloud-native services.
• Proven experience with distributed systems, large-scale data processing (Spark, Kafka, Hadoop, Iceberg), and real-time stream or batch data architecture.
• Solid understanding of cloud platforms (AWS and/or Azure; GCP a plus).
• Hands-on experience with Kubernetes (deployment, scaling, troubleshooting).
• Knowledge of stream processing tools: Kafka, Kafka Streams, Apache Flink, AWS Kinesis.
• Experience building RESTful APIs and scalable backend services.
• Practical understanding of CI/CD pipelines, infrastructure-as-code, and DevOps tooling (e.g., Jenkins, Argo, GitHub Actions).
• Familiarity with agile/scrum methodologies and collaborative, iterative development practices.
• Excellent communication skills and the ability to work across teams in a fast-paced, dynamic environment.

What You'll Be Doing

• Design and build robust backend services and features for high scale microservices SaaS products running in AWS, Azure, and GCP.
• Create and maintain large-scale observability systems to collect, process, and expose critical metrics and logs for Adobe’s cloud infrastructure.
• Architect and implement scalable data pipelines and distributed systems using JVM-based languages like Java and Scala, and frameworks such as Spark.
• Build resilient, high-performance APIs and services that serve real-time customer traffic on a global scale.
• Drive design discussions and own significant parts of the platform from conception through production deployment.
• Develop with a strong product-first approach, while prioritizing quality, reliability, security, and performance.
• Collaborate multi-functionally with architects, product managers, data engineers, and site reliability engineers.
• Contribute to infrastructure-as-code efforts using tools like Terraform and manage CI/CD pipelines and container orchestration via Kubernetes.
• Monitor services with advanced observability tooling like Prometheus, Grafana, Splunk, New Relic, and Datadog.

Perks and Benefits

• Exceptional work environment recognized on Best Companies lists
• Colleagues committed to helping each other grow through a unique Check-In approach for ongoing feedback
• Meaningful benefits