Principal Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as a technical leader across engineering teams and product initiatives.

• Influence architectural direction while staying actively involved in software development.

• Design and implement scalable, secure, reliable, and high-performance enterprise software solutions.

• Collaborate with Engineering leadership to tackle complex technical challenges.

• Advocate for practical AI-assisted software development practices throughout Engineering.

• Design and create AI-powered features that enhance developer productivity and customer value.

• Assess emerging AI technologies, including LLMs, AI agents, RAG, and agentic development workflows.

• Guide engineers on responsible AI adoption, technical evaluation, and contemporary development practices.

• Write, review, test, and maintain high-quality production code.

• Lead intricate development initiatives from design through to production deployment.

• Diagnose critical production issues and provide practical, sustainable solutions.

• Promote technical excellence across Java applications, APIs, microservices, and cloud-native architectures.

• Establish engineering practices that enhance software quality, maintainability, and delivery.

• Identify technical debt and spearhead modernization initiatives.

• Enhance application performance, scalability, reliability, and developer productivity.

• Champion automation, engineering excellence, and continuous learning.

• Prototype and assess technologies that bolster AutoRABIT's enterprise platform.

• Mentor senior engineers and emerging technical leaders.

• Collaborate with Product Management, Architecture, Security, and DevOps teams.

• Translate intricate technical concepts into actionable recommendations.

• Foster a culture of accountability, curiosity, collaboration, and execution.

⛳️ Requirements

• Over 15 years of professional software engineering experience delivering enterprise-scale applications.

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

• Strong expertise with Spring Boot, APIs, microservices, cloud-native development, and enterprise application architecture.

• Proven hands-on experience using AI-assisted development tools to enhance engineering productivity.

• Experience in developing 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 similar AI technologies.

• In-depth 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 in developing enterprise SaaS products, ideally within the Salesforce ecosystem.

• Proven 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 forms of demonstrated technical leadership.

• Excellent communication skills with the 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 reside in and be eligible to work in the United States.

🏝️ Benefits

• Bonus.

• Fully remote work within the United States.

• Opportunity to collaborate with talented engineers across a global organization.

• Chance to shape technical direction and accelerate AI adoption across Engineering.