AI-Native Software Engineering Director

This is a fully remote position, open to applicants in India.

📋 Description

• Design, implement, and assess AI-Native software development and quality engineering experiments.

• Recognize engineering bottlenecks where AI-Native workflows can enhance productivity, quality, speed, developer experience, or release confidence.

• Assess emerging AI engineering tools, coding agents, AI-enabled development environments, test generation tools, code review assistants, documentation tools, and developer productivity platforms.

• Develop and institutionalize AI-Native practices for development, testing, review, documentation, refactoring, debugging, and delivery.

• Establish and uphold engineering quality standards, operating protocols, usage guidelines, workflow templates, and best practices for AI-assisted software development.

• Design AI-Native quality engineering methodologies that enhance test automation, regression prevention, validation, code review, quality gates, and production readiness.

• Create balanced metrics and measurement frameworks for engineering productivity, quality, cycle time, developer experience, adoption, and business impact.

• Analyze experimental results and advise on whether practices should be adopted, modified, scaled, or retired.

• Develop playbooks, frameworks, operating models, and enablement resources that transform successful experiments into repeatable practices throughout the organization.

• Mentor engineers and engineering leaders to optimize effectiveness through AI-assisted development, agentic workflows, quality engineering, and human-AI collaboration.

• Propel organization-wide adoption of effective 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 utilization, data exposure, IP protection, security, maintainability, and human oversight.

• Collaborate with engineering, product, QA, security, DevOps, platform, and executive leadership to align AI-Native transformation initiatives with business objectives.

• Continuously enhance software development, QA, automation, CI/CD, DevOps, cloud engineering, observability, security, and delivery processes through AI-Native methodologies.

• Formulate strategic recommendations for the future advancements in software engineering at Sparkrock.

⛳️ Requirements

• Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience.

• Over 8 years of hands-on software engineering experience delivering production software systems.

• Strong practical software engineering background with proficiency in modern software development practices and production-grade systems.

• Practical experience utilizing 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 scenarios.

• Experience in evaluating and implementing AI engineering tools, coding agents, test generation tools, code review assistants, documentation assistants, or developer productivity platforms.

• Proven experience leading engineering transformation, engineering excellence, developer productivity, quality engineering, platform engineering, technical enablement, or software development process improvement initiatives.

• Demonstrated experience in designing, executing, measuring, and scaling experiments that enhance engineering productivity, quality, developer experience, or delivery outcomes.

• Experience in improving engineering results through process innovation, tooling adoption, productivity initiatives, quality engineering enhancements, or organizational transformation.

• Proven track record in driving the adoption of new engineering practices across multiple teams or organizations.

• Experience mentoring engineers and engineering leaders through significant changes in engineering practices, tools, workflows, or operating models.

• Experience in establishing engineering standards, quality benchmarks, operating procedures, usage guidelines, quality frameworks, or operational excellence programs.

• Strong knowledge of modern software engineering, software quality engineering, testing strategies, automation, CI/CD, DevOps, cloud-native development, observability, security, and developer productivity practices.

• Ability to design human-AI workflows that enhance engineering outcomes while maintaining quality, maintainability, security, reliability, and human accountability.

• Strong analytical and data-driven decision-making skills, including the ability to define meaningful metrics, establish baselines, interpret results, and avoid vanity metrics.

• Systems-thinking mindset with the capability to optimize complex human, technical, and organizational systems.

• Exceptional coaching, mentoring, facilitation, and change leadership abilities.

• Excellent written, verbal, and presentation communication skills.

• Ability to influence technical and organizational decisions at all levels of the engineering organization, from individual contributors to executives.

• Ability to distinguish lasting engineering value from fleeting AI trends.

🏝️ Benefits

• Access to top-tier AI engineering tools, platforms, and technologies, with the freedom to experiment, evaluate, and shape their adoption across the organization.

• A unique chance to define AI-Native engineering practices for a mission-driven enterprise software company.

• We are fully remote and global. Live your best life wherever that may be, and never miss out on career opportunities because of location.

• Flexible work hours. We operate asynchronously and prioritize results over when you’re online, as long as you deliver outstanding outcomes and are available for our customers.

• We are committed to your growth with regular and meaningful feedback, support in reaching your personal career aspirations, and access to leading-edge tools, playbooks, and technology to enhance your experience.

• Opportunities to connect with thought leaders in the field and participate in webinars on cutting-edge technology topics.

• A stipend to help you create your ideal home office setup.

• Focus on culture: coffee chats, happy hours, cooking classes, book clubs, and more!