Enterprise Technologist
7 days ago
We are seeking a highly skilled Technology Solutions Architect 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 cloud platforms, full-stack development, distributed computing, data lakes, caching, real-time & batch processing, and AI/ML Operations.
The successful candidate must demonstrate the ability to recommend architecture improvements, evaluate new technologies, propose effective solutions, conduct proof of concepts (PoCs), and develop architectural diagrams aligned with strategic business goals.
Key Responsibilities:
- Architectural Strategy & Roadmap: Define and implement enterprise architecture standards, best practices, and guidelines. Align technology solutions with business goals, ensuring scalability, performance, security, and reliability.
- 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.
Core Technologies:
- Expertise in both cloud-native as well as cloud-agnostic architecture and deployment in AWS/Azure/GCP.
- Proficiency in enterprise-scale solutions including Kafka, Java backend, Kubernetes, Redis, and Cloud (AWS, Azure, or GCP).
- Hands-on expertise in full-stack development across front-end and back-end technologies.
- Hands-on experience with containerization, orchestration (Kubernetes), and experience with infrastructure-as-code (Terraform, CloudFormation).
- Ability to understand Data Lake architectures, Pyspark data pipelines, real-time data processing, and Database migrations.
Soft Skills:
- Excellent communication and stakeholder management skills.
- Ability to articulate technical concepts to non-technical audiences.
- Strong problem-solving and decision-making abilities.
Work on cutting-edge technologies and innovative solutions. Be part of a collaborative and forward-thinking team. Opportunities for professional growth and career advancement. Competitive employee benefits.
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