Distinguished Software Engineer

AutoRABIT is revolutionizing Dev Ops and data protection for Salesforce teams operating in complex, highly regulated environments. Our platform integrates CI/CD, compliance, release orchestration, and AI powered automation to improve software delivery, reduce risk, and increase velocity.

With a foundation in Lean principles, we focus on eliminating waste, driving innovation, and delivering scalable value for our customers.

AutoRABIT is seeking an exceptional Distinguished Software Engineer (IC-7) to serve as one of the highest level technical individual contributors in our global Engineering organization.

This role is intended for an engineer with extraordinary technical depth, demonstrated industry expertise, and a proven ability to solve complex engineering challenges that impact multiple products, teams, and business objectives.

This is not a traditional architect or people management position. We are looking for a highly accomplished, AI forward, hands on engineer who combines strategic technical leadership with the ability and willingness to write production code, build sophisticated solutions, and personally drive critical engineering initiatives.

The ideal candidate has a strong background in Java, distributed systems, enterprise SaaS platforms, and modern cloud technologies. They must also bring meaningful, demonstrated experience applying artificial intelligence to software products and engineering workflows.

As a Distinguished Engineer, you will influence AutoRABIT's long term technical direction, establish engineering standards, mentor senior technical leaders, and lead the implementation of our most complex and business critical solutions.

You will work closely with Engineering, Product, Architecture, Security, and Executive Leadership to translate technical innovation into measurable business and customer outcomes.

• Serve as one of AutoRABIT's most senior technical authorities, influencing engineering strategy across products and teams.
• Define and guide long term technical direction, architectural principles, and engineering standards.
• Identify and solve complex technical challenges that span multiple engineering teams, products, and platforms.
• Partner with the VP of Engineering, CTO, and other senior leaders to align technical investments with business priorities.
• Evaluate major technical decisions, platform investments, and modernization initiatives.
• Provide technical leadership through expertise, influence, and execution rather than formal management authority.

• Drive the adoption of AI technologies that meaningfully improve AutoRABIT's products, engineering productivity, and customer outcomes.
• Architect, develop, and deliver AI powered product capabilities and intelligent automation solutions.
• Lead technical initiatives involving Large Language Models, Retrieval Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), and agentic workflows.
• Establish practical standards for AI assisted software development, including code quality, security, validation, and responsible use.
• Evaluate emerging AI technologies and determine where they provide measurable value.
• Mentor engineering teams on AI implementation, technical limitations, evaluation methods, and effective development practices.
• Demonstrate a proven ability to move AI initiatives beyond experimentation into reliable production solutions.

• Remain actively involved in software development, including writing, reviewing, testing, and deploying production code.
• Personally lead the design and implementation of highly complex, business critical software capabilities.
• Serve as a technical escalation point for the organization's most 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 that accelerate development across teams.
• Ensure technical solutions meet enterprise expectations for scalability, security, reliability, performance, and maintainability.
• Lead by example through strong coding practices, technical problem solving, and consistent delivery.

• Guide the evolution of AutoRABIT's enterprise SaaS architecture.
• Identify architectural limitations, technical debt, and systemic…