HHiring Reality
← Zuora

Senior Software Engineer

Zuora
Location
Foster City, California, United States
Posted
1 month ago
Department
Engineering & TechOps
What they actually want (must-haves)
  • 8+ years of hands-on experience in modern Java (17+), JVM internals, concurrency models, Spring Boot, and cloud-native distributed architecture
  • Deep experience building infrastructure surrounding LLMs—agent loops, state-machine tracking, tool calling/dispatch systems, context window management, and structured output parsing
  • Practical experience with LangGraph, CrewAI, AutoGen, LlamaIndex, or custom in-house agent orchestration runtimes and vector databases (e.g., Pgvector, Pinecone)
  • Heavy background in event-driven architecture (Kafka/RabbitMQ), high-performance caching (Redis), relational databases (PostgreSQL/MySQL), and REST/gRPC API design
  • Experience with AWS, Docker/container isolation, Kubernetes, and securing agent execution pathways against improper tool invocations or prompt injection
Nice to have
  • Production experience leveraging Amazon Bedrock Agents and Guardrails for Amazon Bedrock
  • Experience utilizing AWS Lambda, Step Functions, DynamoDB, and ECS/Fargate for isolated tool-execution environments
  • Familiarity with continuous agent monitoring, trace/span evaluation frameworks, and LLM-as-a-judge pipelines
  • Experience in Enterprise Deal Desk operations, revenue operations, quote-to-cash workflows, dynamic pricing engines, or high-volume SaaS approval chains
What the job really is

As a Senior Software Engineer at Zuora, you will architect and scale the Agentic Deal Desk product, focusing on building resilient Java microservices and an AI agent harness. Your responsibilities will include developing core agent functionalities, managing context and memory for deal negotiations, and ensuring secure tool execution. Additionally, you will set technical standards and mentor other engineers within the team.

Benefits
  • Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
  • Medical Insurance
  • Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
  • Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
  • Learning & development stipend to support ongoing growth
  • Opportunities to volunteer and give back, including charitable donation matching where available
Things to weigh
  • This role requires working onsite three days per week, which may not suit candidates seeking fully remote positions.
  • The job involves complex AI and microservices work, which may require a steep learning curve for those not familiar with these technologies.
Job score3.6/5
Benefits4/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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