Distinguished Software Engineer - USA

AutoRABIT Holding Inc.•Chicago, IL

1d•$265,000 - $295,000•Remote

About The Position

AutoRABIT is seeking a Distinguished Software Engineer (IC-7) to serve as one of the highest-level technical individual contributors in its global Engineering organization. This hands-on role combines strategic technical leadership with production software development and delivery of complex, business-critical solutions. It is not a traditional architect or people-management position. The engineer will influence AutoRABIT’s long-term technical direction, establish engineering standards, mentor senior technical leaders, and lead implementation of complex solutions across products and teams. The role focuses on Java, distributed systems, enterprise SaaS platforms, cloud technologies, and production AI capabilities. The Distinguished Engineer will collaborate with Engineering, Product, Architecture, Security, and executive leaders to translate technical innovation into measurable customer and business outcomes. This is a remote role. Candidates must live in and be eligible to work in the United States. Compensation is $265,000–$295,000 depending on experience, plus bonus.

Requirements

15+ years of professional software engineering experience delivering complex enterprise software products and platforms.
Experience operating as a Distinguished Engineer, Principal Engineer, Staff Engineer, Chief Architect, or equivalent senior technical individual contributor.
Exceptional hands-on expertise in Java, Spring Boot, distributed systems, microservices, APIs, and enterprise application architecture.
Deep experience designing and delivering highly scalable, secure, and reliable enterprise SaaS platforms.
Success leading major technical initiatives spanning multiple engineering teams or product areas.
Experience building and delivering AI-powered software capabilities in production environments.
Practical experience with AI-assisted software development tools and modern AI engineering workflows.
Experience with Large Language Models, RAG, AI agents, MCP, or comparable AI frameworks.
Deep understanding of cloud platforms such as AWS or Azure, including cloud architecture, distributed systems, and AI integration capabilities.
Extensive experience with CI/CD, DevSecOps, Kubernetes, containers, and Infrastructure as Code.
Strong understanding of enterprise security, application performance, reliability, and operational excellence.
Ability to resolve highly complex technical challenges and critical production issues.
Experience influencing architectural direction and technical standards across multiple teams.
Ability to mentor senior technical contributors and improve engineering capabilities across an organization.
Exceptional communication skills and ability to influence executive and technical stakeholders.
Track record of translating technical innovation into measurable product, engineering, or business outcomes.
Demonstrated technical leadership through major engineering contributions, open-source projects, publications, patents, industry recognition, or equivalent achievements.
Must live in and be eligible to work in the United States.

Nice To Haves

Experience with Salesforce technologies, APIs, metadata, DevOps workflows, or enterprise applications built for the Salesforce ecosystem.
Experience developing DevSecOps platforms, CI/CD tooling, release automation, or data protection solutions.
Experience introducing AI-powered capabilities or agentic workflows into enterprise software products.
Experience guiding major architectural modernization initiatives.
Experience in highly regulated industries or security-sensitive enterprise environments.
Experience collaborating with globally distributed engineering and product teams.

Responsibilities

Influence engineering strategy and define long-term technical direction, architectural principles, and engineering standards across products and teams.
Identify and solve complex technical challenges spanning multiple engineering teams, products, and platforms.
Partner with the VP of Engineering, CTO, and other senior leaders to align technical investments with business priorities and evaluate major technical decisions and modernization initiatives.
Drive adoption of AI technologies that improve products, engineering productivity, and customer outcomes; architect and deliver AI-powered capabilities and intelligent automation.
Lead initiatives involving Large Language Models, Retrieval Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), and agentic workflows.
Establish standards for AI-assisted software development, including code quality, security, validation, and responsible use; evaluate emerging AI technologies for measurable value.
Remain actively involved in writing, reviewing, testing, and deploying production code, and personally lead complex, business-critical implementations.
Serve as a technical escalation point for difficult engineering and production challenges.
Drive engineering excellence across Java, Spring Boot, APIs, microservices, distributed systems, and cloud-native platforms; build reference implementations, prototypes, and foundational components.
Ensure solutions meet enterprise standards for scalability, security, reliability, performance, and maintainability.
Guide the evolution of AutoRABIT’s enterprise SaaS architecture; identify architectural limitations, technical debt, and systemic risks.
Lead modernization across application services, integrations, infrastructure, and development practices; establish reusable patterns, frameworks, and standards.
Improve platform performance, resilience, observability, and operational efficiency, and recommend beneficial technology investments.
Promote practices that improve software quality, development efficiency, and delivery predictability, including automation, CI/CD, DevSecOps, testing, and modern software development.
Identify ways to reduce complexity, eliminate waste, improve engineering workflows, and use measurable outcomes to assess technical improvements.
Advise Engineering, Product, Architecture, Security, and executive leaders; mentor Principal Engineers, senior developers, architects, and emerging technical leaders.
Lead technical discussions, help teams navigate engineering tradeoffs, and influence decisions without direct reporting authority.
Communicate complex engineering concepts to technical and nontechnical stakeholders and foster collaboration, technical excellence, innovation, and ownership across globally distributed teams.