Lead Engineer - Copado Labs

Rippling

ESonsitePosted Jul 20, 2026
Posting intelligenceActively listedReposted 10×, possible evergreen/ghost posting

Skills

salesforcenodepythoncicdjavascriptml

About the role

About Copado

Copado is the #1 DevOps Platform for Salesforce and the Cloud. We deliver an AI-enabled devops platform to enhance human’s ability to orchestrate business application development in the agentic age to drive digital transformation for 1,500+ of the most innovative brands on the planet - from Coca-Cola to T-Mobile to Volkswagen. Our agentic platform unites non-technical admins and pro-code developers on the same system and empowers enterprises to scale end-to-end software delivery across multi-cloud environments. We operate in a dynamic and competitive industry and our consistent growth reflects our continued commitment to innovation and customer success.

Job Summary

We're seeking a Lead Engineer to join Copado Labs, focusing on developing innovative solutions and extensions for Copado's DevOps and AI platform. This role combines technical leadership with hands-on development to deliver high-quality, scalable solutions while mentoring team members and supporting our partner ecosystem.

Key Responsibilities

Solution Architecture & Development:

Design and architect solutions that extend Copado's platform capabilities through Functions, Job Templates, and Custom Extensions (bash, python scripts, apex code)

Lead technical discovery sessions to understand customer needs and translate them into scalable solutions

Create and maintain technical documentation for Copado Labs solutions

Develop proof-of-concepts and prototypes for new platform features

Design solutions that integrate with Copado's Quality Intelligence framework

Design and architect solutions leveraging Copado's AI Platform capabilities

Partner Enablement & Support:

Design and deliver technical enablement programs for partners building Copado extensions

Provide architectural guidance and best practices to partners developing solutions for the DevOps Exchange

Create reference architectures and solution templates for common extension patterns

Review partner-built extensions and provide technical feedback

Lead technical workshops and training sessions for partners

Support partners in troubleshooting complex technical challenges

Guide partners in implementing AI-powered solutions

Collaboration & Leadership:

Collaborate with the core Copado product team to ensure solutions align with product roadmap

Mentor team members and partners on Salesforce architecture best practices and Copado platform capabilities

Contribute to the partner certification program for extension development

Participate in partner advisory boards and technical steering committees

Lead innovation initiatives for AI-powered DevOps solutions

Qualifications & Experience

5+ years of Salesforce development and architecture experience

Deep understanding of Salesforce development lifecycle and DevOps methodologies

Experience with Git, CI/CD pipelines, and automated testing frameworks

Experience with bash, python or node.js

Strong knowledge of Apex, Lightning Web Components, and Salesforce APIs

Understanding of AI/ML concepts and their application in DevOps

Proven track record of partner enablement or technical training delivery

Strong architectural thinking and problem-solving abilities

Ability to explain complex technical concepts to diverse audiences

Strong focus on scalability and enterprise-grade solution design

Experience in creating technical content and documentation

Vision for applying AI/ML in DevOps processes

Nice to Have

Salesforce Certified Technical Architect (CTA) or multiple Domain Architecture certifications

Previous experience building solutions for the Copado DevOps Exchange

Experience in partner enablement programs or developer advocacy

Background in AI/ML implementation in enterprise solutions

Contributions to open-source projects or community solutions

Background in implementing enterprise-scale Salesforce solutions

Knowledge of multiple version control systems and branching strategies

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