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