Job Overview
Location
Argentina
Job Type
Full-time
Category
Software Engineering
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Lead the design, execution, and measurement of AI-Native software development and quality engineering experiments across Sparkrock’s engineering teams.
- • Identify engineering bottlenecks in productivity, quality, speed, developer experience, or release confidence where AI-Native workflows can deliver measurable improvements.
- • Evaluate emerging AI engineering tools including coding assistants, AI-enabled IDEs, test generation platforms, code review assistants, documentation tools, and agentic software development workflows.
- • Develop and institutionalize AI-Native standards for development, testing, code review, documentation, refactoring, debugging, and delivery processes.
- • Define and maintain engineering quality bars, operating standards, usage guardrails, workflow templates, and best practices for AI-assisted software development.
- • Create AI-Native quality engineering practices that enhance test automation, regression prevention, validation, code review, quality gates, and production readiness.
- • Establish balanced, non-vanity metrics and measurement frameworks for engineering productivity, quality, cycle time, developer experience, adoption rates, and business impact.
- • Analyze experiment results to determine whether AI-Native practices should be adopted, modified, scaled, or retired based on empirical evidence.
- • Design and distribute playbooks, frameworks, operating models, and enablement materials that turn successful experiments into repeatable, organization-wide practices.
- • Coach engineers and engineering leaders to maximize effectiveness through AI-assisted development, agentic workflows, quality engineering, and human-AI collaboration.
- • Drive organization-wide adoption of proven AI-Native engineering practices through coaching, enablement, influence, measurement, and continuous feedback loops.
- • Define safe and responsible practices for AI-generated code, AI-assisted testing, tool usage, data exposure, intellectual property protection, security, maintainability, and human review.
- • Partner with engineering, product, QA, security, DevOps, platform, and executive leadership to align AI-Native transformation with business priorities.
- • Continuously improve software development, QA, automation, CI/CD, DevOps, cloud engineering, observability, security, and delivery processes using AI-Native approaches.
- • Develop strategic recommendations for the future evolution of software engineering at Sparkrock, focusing on durable engineering value over AI hype.
- • Build human-AI workflows that improve engineering outcomes while preserving quality, maintainability, security, reliability, and human accountability.
- • Apply systems-thinking to optimize complex technical, human, and organizational systems within a global, fully remote engineering environment.
- • Communicate clearly and persuasively through written, verbal, and presentation formats to influence technical and organizational decisions across all levels.
- • Separate short-lived AI trends from enduring engineering improvements through rigorous analysis and principled decision-making.
🎯 Requirements
- • Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience.
- • 8+ years of hands-on software engineering experience delivering production software systems.
- • Practical experience using AI-assisted development tools, coding assistants, coding agents, AI-enabled IDEs, AI-powered testing, AI-supported code review, or agentic software development workflows in real engineering environments.
- • Experience leading engineering transformation, engineering excellence, developer productivity, quality engineering, platform engineering, technical enablement, or software development process improvement initiatives.
- • Experience designing, executing, measuring, and scaling experiments that improve engineering productivity, quality, developer experience, or delivery outcomes.
- • Strong understanding of modern software engineering, software quality engineering, testing strategies, automation, CI/CD, DevOps, cloud-native development, observability, security, and developer productivity practices.
🏖️ Benefits
- • Access to leading AI engineering tools, platforms, and technologies, with the freedom to experiment, evaluate, and shape how they are adopted across the organization.
- • We are 100% remote and global. Live your best life wherever that may be, and never lose out on career opportunities because of it.
- • Flexible work hours. We work asynchronously and don’t care when you’re online, just that you deliver great results and are there for our customers.
- • Stipend to help set up your ideal home office.
- • We are dedicated to your growth with consistent and meaningful feedback, support in achieving your personal career goals, and access to leading-edge tools, playbooks, and technology to amplify your experience.
- • Introductions to thought leaders in the space and webinars on cutting-edge tech hot topics.
Skills & Technologies
Remote
Degree Required
About Ionic Partners LLC
Ionic Partners is a technology-focused investment and advisory firm that provides growth capital, strategic guidance, and M&A services to software and internet businesses. Founded by former operators and investors, the firm partners with founder-led companies in SaaS, marketplaces, and digital infrastructure, offering flexible capital solutions and hands-on operational support to accelerate scale and maximize enterprise value.
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