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AI-Native Software Engineering Director (OTE $100,000/year USD), @Sparkrock

Job Overview

Location

Egypt

Job Type

Full-time

Category

Software Engineering

Date Posted

June 3, 2026

Full Job Description

đź“‹ Description

  • • Design, execute, and measure AI-Native software development and quality engineering experiments to improve productivity, quality, speed, developer experience, and release confidence.
  • • Identify engineering bottlenecks where AI-Native workflows—such as AI-assisted coding, agentic workflows, and automated testing—can enhance software delivery outcomes.
  • • Evaluate emerging AI engineering tools including coding assistants, AI-enabled IDEs, test generation platforms, code review assistants, documentation tools, and developer productivity platforms.
  • • Develop and institutionalize AI-Native standards for development, testing, code review, documentation, refactoring, debugging, and delivery processes across engineering teams.
  • • 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 improve test automation, regression prevention, validation, code review, quality gates, and production readiness.
  • • Establish balanced metrics and measurement frameworks for engineering productivity, quality, cycle time, developer experience, adoption rates, and business impact.
  • • Analyze experimental results to determine whether AI-Native practices should be adopted, modified, scaled, or retired based on data-driven outcomes.
  • • Create playbooks, frameworks, operating models, and enablement materials to 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 efforts 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 sustainable, high-impact AI integration.
  • • Ensure all AI-Native practices preserve quality, maintainability, security, reliability, and human accountability while enhancing engineering outcomes.
  • • Communicate complex technical concepts clearly to technical and non-technical stakeholders through written, verbal, and presentation formats.
  • • Influence technical and organizational decisions across all levels of the engineering organization, from individual contributors to executives.
  • • Differentiate durable engineering value from short-lived AI hype by grounding decisions in empirical evidence and long-term system health.

🎯 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

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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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