1. Key Responsibilities
a. Lead Architectural design of the platform
• Lead the architectural design and development of internal platforms,
• Ensure product / platform is scalable by right design, solution and engineering principles
• Expert in micro services, micro front end and serverless architecture
• Oversee the design and implementation of internal software solutions
• Champion Agile with Solid experience in Agile methodologies,
b. Oversee implementation of platforms in Cloud Infrastructure
• Engineering guidance on multiple platforms like AWS, Azure,GCP
• Extensive experience in architecting cloud native platforms hosted in AWS or Azure.
• Design the right solutions for Gen AI and AI business use cases
c. Direct and guide on in adopting modern architectural patterns and technologies.
• Mentor and guide engineering teams in adopting modern architectural patterns and technologies.
• Develop and enforce architectural standards, design patterns and best practices across the organization.
• Conduct regular reviews of the architecture to ensure it meets current and future business needs.
d. Proven experience in modern software engineering & cloud native design
• Provide guidance to teams in software development with a strong understanding of various programming languages and frameworks.
• Coach developers in developing backend services with Java, Python, .NET, using SQL, and NoSQL databases
• Guidance in designing micro-UI in one more React, Angular, Next Js
• Guide teams on microservices architecture, micro front ends, technical upgrades & migrations, cloud assessment, application rewrite using latest technologies, considering cloud/on-premises hosting
f. Expert in DevSecOps practices
• In-depth knowledge of security best practices and experience in implementing security measures such as encryption, access controls, and vulnerability assessments etc.
• Hands-on DevSecOps experience, including CI/CD pipeline creation, automation, infrastructure as code (IaC), and containerization using tools like Jenkins, Docker, and Kubernetes.
• Provide strategic direction and leadership in software development, security, and DevOps practices.
g. Collaboration and Innovation:
• Stay updated with the latest industry trends and technologies to drive innovation within the organization.
• Collaborate with cross-functional teams to ensure the scalability, reliability, and security of internal platforms.
• Utilize best in class design tools, to streamline the design and architecture
• Creation and maintenance of an effective knowledge management system to support all the phases of the development lifecycle
Foster a culture of innovation, collaboration, and continuous improvement.
2. Mandatory Capabilities/Skills /Years of Experience
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• Application Architecture: Ability to decompose business problems and determine the technical capabilities required such as UI, Natural UI, AI, Cloud/Cloud Native, Eventing/Messaging, Orchestration, Database, Low Latency etc.
• Tools and Technologies: Deep technical expertise in Cloud/Cloud Native, AI, Modern Apps (APIs, Microservices, Containers, Kubernetes etc.), Modern Engineering (DevSecOps, Infra as Code), Automation tools etc.
• Well Architected: Deep knowledge of Resilience, Reliability, Security, Cost Optimization, Operations Excellence and knowledgeable about Sustainability
• SDLC: Experience of having worked on having implemented modern application and engineering architectures for leading enterprises
• Effective Communication: Effective executive communication skills to clearly articulate vision and lead effective teams across the enterprise; productively challenge counterparts, bringing valuable insights
3. Preferred Capabilities/Skills/Years of Experience
• Delivered technical architecture for custom applications based on Modern Apps, Modern Engg and Cloud Native technologies
• Minimum 10+ years in leadership role
• Minimum 12+ years of technical experience in custom app engineering and architecture
• Minimum 3+ years in in experience in Modern Apps, Modern Engg, Cloud Native and 1+ years of Gen AI, Data Engineering and Machine learning
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000+ associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.