Principal Software Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $210k - $235k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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👻 Ghost score 1%

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AutoRABIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

AutoRABIT is a company specializing in automated DevSecOps solutions specifically for Salesforce environments. It offers a variety of products and services aimed at enhancing security, compliance, and productivity for enterprise teams using Salesforce. These include automated release management, data protection, static code analysis, and visual analytics tools. AutoRABIT's solutions are designed to support rigorous data security regulations and ensure quality in application releases. The company's offerings are built to provide deep automation and visibility into the Salesforce DevOps pipeline, catering to industries such as banking, healthcare, and life sciences.

📋 Description

• Serve as a technical leader across engineering teams and product initiatives • Influence architectural direction while remaining actively engaged in software development • Design and implement scalable, secure, reliable, and high-performance enterprise software solutions • Partner with Engineering leadership to solve complex technical challenges • Champion practical AI-assisted software development practices across Engineering • Design and build AI-powered capabilities that improve developer productivity and customer value • Evaluate emerging AI technologies, including LLMs, AI agents, RAG, and agentic development workflows • Mentor engineers on responsible AI adoption, technical evaluation, and modern development practices • Write, review, test, and maintain high-quality production code • Lead complex development initiatives from design through production deployment • Troubleshoot critical production issues and deliver practical, sustainable solutions • Drive technical excellence across Java applications, APIs, microservices, and cloud-native architectures • Establish engineering practices that improve software quality, maintainability, and delivery • Identify technical debt and lead modernization initiatives • Improve application performance, scalability, reliability, and developer productivity • Champion automation, engineering excellence, and continuous learning • Prototype and evaluate technologies that strengthen AutoRABIT's enterprise platform • Mentor senior engineers and emerging technical leaders • Collaborate with Product Management, Architecture, Security, and DevOps teams • Translate complex technical concepts into actionable recommendations • Foster a culture of accountability, curiosity, collaboration, and execution

🎯 Requirements

• 15+ years of professional software engineering experience delivering enterprise-scale applications • Expert-level proficiency in Java, modern software engineering practices, and distributed systems • Strong experience with Spring Boot, APIs, microservices, cloud-native development, and enterprise application architecture • Demonstrated hands-on experience using AI-assisted development tools to improve engineering productivity • Experience building AI-powered software products, integrations, or developer productivity solutions • Familiarity with Large Language Models, Retrieval Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), or comparable AI technologies • Deep understanding of cloud platforms such as AWS or Azure, including modern cloud architecture and AI integration capabilities • Experience with CI/CD, DevSecOps, Kubernetes, containers, and Infrastructure as Code • Experience developing enterprise SaaS products, preferably within the Salesforce ecosystem • Demonstrated ability to diagnose and resolve complex technical and production issues • Experience mentoring senior engineers and leading technical initiatives across teams • Contributions to open source projects, technical publications, patents, or other demonstrated technical leadership • Excellent communication skills and ability to influence technical decisions without direct authority • Ability to collaborate effectively with globally distributed engineering teams while working remotely within the United States • Must live in and be eligible to work in the United States

🏖️ Benefits

• Bonus • Fully remote work within the United States • Opportunity to work with talented engineers across a global organization • Opportunity to shape technical direction and accelerate AI adoption across Engineering

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