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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
