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Open nowPosted 6 hours ago

Principal Full Stack Engineer (Agentic Systems & Enablement)

Modus Create17 open roles

Where
Colombia
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Your applicationOpen nowPrincipal Full Stack Engineer (Agentic Systems & Enablement)Modus Create · Colombia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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  4. CV RocketApplied on Modus Create's own form.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Modus Create postings stay open a median of 27 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 6 hours ago

Modus Create median: 27 days open

The posting

Principal Full Stack Engineer (Agentic Systems & Enablement)

About Us

Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We’re a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.

We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences.

As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you.

Opportunity!

We are looking for a Principal Full Stack Engineer to help accelerate feature delivery across complex enterprise applications while introducing and scaling production-ready agentic software engineering practices.

You'll work directly within a client's engineering team, combining hands-on development using Java, Spring Boot, TypeScript, and React with advanced Claude Code workflows. You'll contribute to production features, optimize existing repositories for AI-assisted development, and mentor engineers on effectively incorporating agentic coding into their daily work.

This is a highly hands-on engineering and consulting role for someone who combines deep full-stack expertise with a passion for AI-driven software development and technical enablement. Rather than simply recommending new practices, you'll demonstrate their value through collaborative coding, real feature delivery, and practical knowledge sharing.

Requirements:

  • 10+ years of professional software engineering experience building and delivering complex enterprise applications.
  • Strong hands-on expertise in Java and Spring Boot, including backend services, APIs, and enterprise application development.
  • Advanced proficiency with TypeScript and React, including modern frontend architecture and build tooling such as Vite.
  • 2+ years of experience with agentic coding workflows, tool-augmented LLM programming, and AI-assisted development in production environments.
  • Advanced hands-on experience with Claude Code, including agent configuration, repository memory files, architectural context, sub-agents, custom skills, and development guardrails.
  • Experience integrating agentic development workflows into existing enterprise codebases to accelerate feature delivery, testing, and refactoring.
  • Strong understanding of repository architecture, code organization, automated testing, and technical documentation to support reliable AI-assisted development.
  • Experience defining structured development workflows, including task decomposition, context management, automated verification, and code review.
  • Ability to design and implement deterministic guardrails that maintain code quality, architectural consistency, and reliable AI-generated outputs.
  • Demonstrated experience mentoring and upskilling software engineers, particularly through hands-on pairing and collaborative development.
  • Ability to work directly with client engineering teams, adapting technical explanations and coaching approaches to different levels of AI-assisted development experience.
  • Strong experience working within Agile, cross-functional product teams, contributing to production features from requirements through deployment.
  • Ability to independently navigate complex enterprise applications, understand unfamiliar codebases, and identify opportunities for engineering improvements.
  • Excellent communication, collaboration, and consulting skills, with the ability to translate advanced technical concepts into practical engineering practices.

Bonus points:

  • Experience with legacy COBOL systems or enterprise modernization initiatives involving legacy technologies.
  • Experience building custom Claude Code skills, sub-agents, repository-level instructions, and reusable agentic development workflows.
  • Experience designing AI-assisted engineering enablement programs or introducing agentic development practices across engineering teams.
  • Familiarity with prompt harnesses, context orchestration, automated testing loops, and agent-driven software development patterns.
  • Experience improving software delivery efficiency through AI-assisted code generation, refactoring, debugging, and automated verification.
  • Experience working in consulting or customer-facing technical leadership roles.
  • Experience documenting reusable engineering patterns, architectural decisions, and technical enablement practices.
  • Experience measuring improvements in engineering productivity, development cycle time, and software quality.

You'll Love:

  • Building production-ready applications using Java, Spring Boot, TypeScript, and React.
  • Working directly with engineering teams to introduce and scale agentic software development practices.
  • Using Claude Code to accelerate feature delivery, navigate complex codebases, and improve engineering workflows.
  • Mentoring developers through hands-on pairing, collaborative coding, and real production work.
  • Designing repository structures, context-management strategies, and guardrails that make AI-assisted development more reliable.
  • Solving complex enterprise engineering challenges while exploring emerging AI development paradigms.
  • Having the autonomy to shape technical approaches, tooling configurations, and engineering practices.
  • Seeing measurable improvements in both software delivery and engineering team capabilities.

By joining our team, you'll be part of a winning squad that plays to each other's strengths and celebrates every success together.

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