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Salary
$210k – $235k per year
Location
Remote (United States)
Seniority
Principal · 15+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
AutoRabit CodeScan™ secures and optimizes your Salesforce DevOps pipeline by providing real-time static code analysis and continuous compliance.

Join AutoRABIT, a leading provider of DevOps solutions for Salesforce. As a Principal Software Engineer, you will play a key role in driving innovation and technical strategy within our global Engineering organization. You will be responsible for designing and implementing scalable, secure, and high-performance enterprise software solutions, while also mentoring engineers and championing AI-assisted software development practices. This is a hands-on position that requires deep Java and enterprise software development experience.

Missions

  • Serve as a technical leader across engineering teams and product initiatives, influencing architectural direction while remaining actively engaged in software development.
  • Design and implement scalable, secure, reliable, and high-performance enterprise software solutions, championing practical AI-assisted software development practices across Engineering.
  • Mentor engineers on responsible AI adoption, technical evaluation, and modern development practices, and lead complex development initiatives from design through production deployment.

Profil recherché

- Excellent communication skills and the ability to influence technical decisions without direct authority

- Familiarity with Large Language Models, Retrieval Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), or comparable AI technologies

- Ability to collaborate effectively with globally distributed engineering teams while working remotely within the United States

- Experience mentoring senior engineers and leading technical initiatives across teams

- Experience with CI/CD, DevSecOps, Kubernetes, containers, and Infrastructure as Code

- 15+ years of professional software engineering experience delivering enterprise scale applications

- Demonstrated hands on experience using AI assisted development tools to improve engineering productivity

- Strong experience with Spring Boot, APIs, microservices, cloud native development, and enterprise application architecture

- Expert level proficiency in Java, modern software engineering practices, and distributed systems

- Experience building AI powered software products, integrations, or developer productivity solutions

- Deep understanding of cloud platforms such as AWS or Azure, including modern cloud architecture and AI integration capabilities

- Experience developing enterprise SaaS products, preferably within the Salesforce ecosystem

- Demonstrated ability to diagnose and resolve complex technical and production issues

- Contributions to open source projects, technical publications, patents, or other demonstrated technical leadership

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