Backend Java Engineer - Revenue Cloud Rating
Job in
Bakersfield, Kern County, California, 93301, USA
Listing for:
Leadout Capital
Full Time
position
Listed on 2026-11-05
Job specializations:
-
Software Development
Job Description & How to Apply Below
Revenue Cloud Rating is a newly formed engineering team inside Salesforce's Revenue Cloud organization, created through our acquisition of m3ter, and we're rebuilding our event-driven microservices platform on Salesforce's own infrastructure to rate complex, usage-based pricing at high volume and low latency. As a Member of Technical Staff, you'll join a fully remote, UK-based team to help carry both the product and the team through this transition, with Agentforce increasingly part of how we design and build.
WhatYou'll Actually Be Doing
- Design, build, and operate backend services within our Java-based, event-driven microservices architecture, with AI as a core part of your development workflow to deliver secure, optimized, high-quality code.
- Make sound technical decisions with incomplete information as the team learns and builds in parallel.
- Critically evaluate code - your own, your teammates', and AI-generated - for correctness, quality, security, and performance.
- You have 4-5 years of backend Java experience, including building and operating microservice and event-driven architectures.
- You bring a strong tolerance for ambiguity, with the judgment to work independently and make decisions as a team and product transition into a new organization.
- You have hands-on experience with AI development tools (e.g., Git Hub Copilot, Cursor, Claude Code, Codex) as part of your regular workflow, with the prompt engineering skill to make outputs reliable and production-ready.
- Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.).
- You've worked through a team or product integration following an acquisition.
- You have experience working with high throughput, low latency systems, whilst applying complex business logic.
- You've contributed to a shared system context - documented design standards and constraints that help AI tools operate reliably.
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