Senior Software Development Engineer

Adobe•San Jose, CA

1d•$139,000 - $257,550

About The Position

Join Adobe’s Customer Experience Orchestration team as a Software Development Engineer. You will build the data foundations that power global marketing workflows. Search and indexing platform built on Solr technology alongside user and service sign-in and permission management systems. We bridge the gap between stable legacy systems and next-generation innovation. We are looking for a technical leader to build distributed systems. If you enjoy solving architectural challenges with Snowflake and AI, you will thrive here.

Requirements

5–8+ years of software engineering experience building large-scale distributed systems.
Computer Science degree or equivalent experience preferred.
Experience designing and operating large-scale systems with complex queries and data pipelines.
Strong hands-on experience with Solr (or Elasticsearch), including indexing, query optimization, and cluster management.
Experience with Spark, Kafka, MySQL, Redis, Solr, and Snowflake.
Experience with Docker and Kubernetes in production environments.
Strong skills in Java/Scala and frameworks such as Spring.
Familiarity with Agentic AI tools and protocols including MCP or similar experience.
Strong focus on testing, CI/CD, monitoring, and running reliable production systems.

Responsibilities

Own Query & Indexing Platform: Build, scale, and operate high-performance Solr and Snowflake-based query and indexing services supporting critical customer workflows.
Lead Secure Platform Engineering: Design and improve authentication and authorization systems for users and services, ensuring security, scalability, and compliance.
Scale Data Platform: Develop and optimize high-throughput data pipelines using Spark and Java/Scala for near real-time indexing and querying.
Modernize Architecture: Evolve legacy Solr systems into hybrid and next-generation architectures using Snowflake and modern data processing technologies.
Maintain Core Infrastructure: Own service identity, discovery, and coordination systems (e.g., Zookeeper), ensuring reliability and observability at scale.
Apply Agentic AI: Use tools like MCP and Claude Code to improve automation, developer productivity, and system intelligence.
Collaborate Across Teams: Partner with Client Services, Operations, Security, and Engineering to deliver end-to-end solutions.
Mentor & Lead: Provide technical leadership, guide design reviews, and mentor engineers.
Drive Engineering Excellence: Promote strong standards in code quality, system design, observability, and operational reliability.