This position is intended for engineering leaders with strong software development and architecture experience. Candidates whose primary background is program or project management, without significant hands-on engineering experience, are not the target profile.
The candidate should demonstrate the following capabilities:
Leadership & Engineering Expectations
- Strong Engineering Mindset - Hands-on software engineering experience with the ability to lead by example and make sound technical decisions.
- Solution Architecture & Design - Ability to design scalable, resilient, secure, and high-performing engineering solutions, supported by a strong understanding of software architecture, design patterns, and distributed systems.
- Technical Strategy & Execution - Ability to define the engineering roadmap, translate strategy into execution, and consistently deliver business outcomes.
- People Leadership - Proven experience in hiring, coaching, mentoring, performance management, succession planning, and building high-performing engineering teams.
- Stakeholder Management - Excellent communication skills with the ability to influence cross-functional stakeholders, build strong partnerships, and effectively manage executive expectations.
- Engineering Excellence - Strong focus on code quality, CI/CD, testing strategy, DevSecOps, operational excellence, technical debt reduction, and continuous improvement.
- Operational & Production Excellence - Experience driving reliability, observability, performance optimization, incident management, root cause analysis, and production stability.
- Engineering Productivity & AI - Experience leveraging AI-assisted development, automation, and modern engineering practices to improve developer productivity, quality, and delivery efficiency.
Technical Expectations
The candidate should have strong experience in:
- Spring Boot and Node.js ; RESTful APIs and GraphQL; Microservices and distributed systems architecture
- API strategy, governance, lifecycle management, and security; Modern design patterns and engineering best practices
- Cloud-native application development (AWS, Azure, or GCP)
- Kubernetes/OpenShift and containerized platforms
- CI/CD pipelines and DevSecOps practices
- Observability and monitoring platforms
Additionally, the candidate should demonstrate the ability to:
- Build enterprise engineering platforms, reusable frameworks, and foundational capabilities.
- Establish engineering standards and governance.
- Enable federated engineering teams through reusable solutions while driving enterprise-wide adoption and consistency.
Location: Hyderabad
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
