Zyoin Group
Website:
zyoin.com
Company:
https://www.linkedin.com/company/zyoin
Seniority: Director
Industries: Hospitals and Health Care, Public Health, and Health and Human Services
Job details:
About
A leading Revolutionary Information technology company in Healthcare delivering enterprise-wide healthcare platform solutions thatsupport clinical, financial, and patient engagement workflows for thousands ofindependent ambulatory practices across primary care, pediatrics, FQHCs,orthopedics, OB-GYN, and other specialties.
About the job
AI Director, Development Engineering
Role Description
You will lead development of current and future capabilities while shaping engineering strategy, delivery standards, architecture direction, and team performance. You will act as a change agent for modern software delivery—using AI, automation, DevSecOps, CI/CD, cloud practices, quality gates, and engineering intelligence to improve how teams build and ship.
You bring strategic judgment and practical execution. We trust you to shape the future—and make it real.
Key Outcomes
- Define and execute engineering strategy aligned to business and product goals.
- Improve SDLC maturity, cloud delivery, architecture governance, and quality practices.
- Lead and develop high-performing teams in a fast-paced environment.
- Use AI-enabled insights to improve delivery predictability, technical decision-making, and operational effectiveness.
- Drive modernization across engineering practices, tools, and operating models.
Roles & Responsibilities
- Provide strategic leadership to product development teams across the SDLC.
- Establish and implement best practices and standards for engineering, QA, DevOps, secure delivery, automation, and architecture governance.
- Work with executive and senior management and interdisciplinary teams to develop vision and strategy.
- Oversee analysis, design, programming, debugging, interoperability, and application modification activities.
- Identify opportunities to continuously improve SDLC practices, cloud delivery, CI/CD, quality, and engineering operations.
- Guide prioritization and trade-offs across roadmap candidates, resourcing, timing, technical debt, and business outcomes.
- Use approved AI tools to support architecture review, delivery-risk analysis, technical debt insights, quality reporting, documentation, and portfolio decision support.
- Lead, mentor, and develop high-performing individuals and teams.
Education
Bachelor’s degree in computer science or a related field required. Master’s degree preferred.
Location: Bangalore
Mode: Hybrid
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