AI-Native Software Engineering Director
New
BrazilFull-TimeDirector
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years
- Required Skills
- CI/CDDevOpsDistributed Systems
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
- 8+ years of hands-on software engineering experience delivering production systems.
- Strong background in modern software engineering, including distributed systems, cloud, CI/CD, DevOps, and automation.
- Proven experience using or evaluating AI-assisted development tools, coding agents, or AI-powered engineering workflows.
- Experience leading engineering transformation, developer productivity, quality engineering, or technical excellence initiatives.
- Ability to design and run data-driven experiments and define meaningful engineering metrics.
- Strong systems thinking with the ability to optimize complex technical and organizational workflows.
- Experience coaching engineers and influencing change across multiple teams or organizations.
- Strong communication, facilitation, and stakeholder management skills.
- Ability to distinguish durable engineering improvements from short-lived technological hype.
- Experience with responsible AI usage, security considerations, and engineering governance is a plus.
Responsibilities
- Design, run, and evaluate experiments to improve software development and quality engineering through AI-native workflows.
- Identify bottlenecks in engineering processes and introduce AI-enabled solutions to improve speed, productivity, quality, and developer experience.
- Evaluate and select AI engineering tools, coding agents, automated testing solutions, and developer productivity platforms.
- Define and institutionalize AI-native engineering standards, including development, testing, review, documentation, and delivery practices.
- Establish metrics frameworks to measure engineering performance, cycle time, quality, adoption, and business impact.
- Create playbooks, operating models, and enablement materials to scale successful practices across engineering teams.
- Coach engineers and leaders on AI-assisted development, human–AI collaboration, and modern engineering practices.
- Drive responsible and secure usage of AI in software development, including code quality, security, and compliance guardrails.
- Partner with cross-functional leadership to align AI-native transformation with business and technical strategy.
View Full Description & ApplyYou'll be redirected to the employer's site
