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AutoRABIT

Salesforce-specific CI/CD with code analysis

Distinguished Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

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.
  • Hands-on expertise in Java, Spring Boot, distributed systems, microservices, APIs, and enterprise application architecture.
  • Experience designing and delivering highly scalable, secure, and reliable enterprise SaaS platforms.
  • Success leading major technical initiatives across 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, retrieval-augmented generation, AI agents, Model Context Protocol, or comparable AI frameworks.
  • Understanding of cloud platforms such as AWS or Azure, including cloud architecture, distributed systems, and AI integration capabilities.
  • Experience with CI/CD, DevSecOps, Kubernetes, containers, and Infrastructure as Code.
  • 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 elevate engineering capabilities across an organization.
  • Ability to communicate and 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 US.

Responsibilities

  • Influence engineering strategy across products and teams as one of the organization's most senior technical authorities.
  • Define and guide long-term technical direction, architectural principles, and engineering standards.
  • 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.
  • Evaluate major technical decisions, platform investments, and modernization initiatives.
  • Drive adoption of AI technologies that improve 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, AI agents, Model Context Protocol, 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.
  • 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.
  • Guide the evolution of the enterprise SaaS architecture.
  • Identify architectural limitations, technical debt, and systemic risks that could affect long-term product scalability.
  • Lead modernization initiatives across application services, integrations, infrastructure, and development practices.
  • Establish reusable engineering patterns, frameworks, and technical standards.
  • Improve platform performance, resilience, observability, and operational efficiency.
  • Evaluate emerging technologies and recommend investments that strengthen the platform.
  • Establish and promote engineering practices that improve software quality, development efficiency, and delivery predictability.
  • Champion automation, CI/CD, DevSecOps, testing, and modern software development practices.
  • Identify opportunities to reduce complexity, eliminate waste, and improve engineering workflows.
  • Promote a culture of technical accountability, experimentation, and continuous learning.
  • Use engineering metrics and measurable outcomes to evaluate the impact of technical improvements.
  • Serve as a trusted technical advisor to Engineering, Product, Architecture, Security, and Executive Leadership.
  • Mentor Principal Engineers, senior developers, architects, and emerging technical leaders.
  • Lead complex technical discussions and help teams navigate difficult engineering tradeoffs.
  • Influence technical decisions across the organization without relying on direct reporting authority.
  • Communicate complex engineering concepts to technical and nontechnical stakeholders.
  • Foster collaboration, technical excellence, innovation, and ownership across globally distributed teams.

Desired Qualifications

  • 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 working in highly regulated industries or security-sensitive enterprise environments.
  • Experience collaborating with globally distributed engineering and product teams.

About the Company

AutoRABIT

Salesforce-specific CI/CD with code analysis

AutoRABIT provides Salesforce DevSecOps tools that speed up and secure Salesforce development. Its core products include CI/CD, static code analysis, and vulnerability scanning tailored for Salesforce, which automate builds, tests, and deployments while checking code quality and security. Unlike general DevOps tools, AutoRABIT focuses on Salesforce-specific workflows and environment rules to offer precise guidance and faster issue detection. The goal is to help enterprises and developers deliver features quickly while maintaining code quality and data security, through a subscription-based platform plus professional services.

Company size
201-500
Company stage
Series B
Total funding
$53M
Headquarters
San Francisco, CA
Founded
2015

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