Platform Solutions Architect

6 days ago

Bengaluru, Karnataka, India beBeeEnterprise Full time ₹ 1,50,00,000 - ₹ 2,25,00,000
Job Overview :
We are seeking a seasoned professional to lead the design and implementation of scalable, secure, and reliable technology solutions. The ideal candidate should have deep expertise in modern enterprise technologies, including multi-cloud platforms, full-stack development, distributed computing, data lakes, caching, real-time & batch processing, and AI/ML Ops.
  • Define and implement enterprise architecture standards, best practices, and guidelines.
  • Align technology solutions with business goals, ensuring scalability, performance, security, and reliability.
  • Document trade-offs between different architecture and design patterns.

Solution Design :
Design end-to-end solutions leveraging modern technologies in Cloud platforms such as Distributed streaming e.g.Kafka, Microservices architecture Kubernetes. Extensive knowledge and hands-on experience in full-stack applications.

Architect scalable and resilient data lakes, caches, and data pipelines for big data processing and powering AI solutions to house both structured and unstructured data. AI/ML design experience is a bonus.

Technology Evaluation & Proof of Concept (PoC) :
Evaluate new technologies and provide strategic recommendations to enhance the technology landscape.

Conduct gap analysis and recommend improvements to the current technology stack.

Document the trade-offs

Architecture Blueprints :
Create high-level architecture diagrams, technical documentation, and reference architectures for stakeholders and to the engineering team to execute.

Present architecture solutions to leadership, developers, and cross-functional teams.

Public-serving layer :
Design and implement a scalable public-serving layer that exposes internal applications and services as secure, reliable, and high-performance APIs for external customer consumption.

Performance Optimization & Reliability Engineering :
Design robust and highly available architectures with failover and disaster recovery capabilities.

Optimize system performance through efficient use of caching, load balancing, and resource scaling.

Analyze and recommend solutions for repeated operational issues.

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