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About the role
End-to-End Architecture Design : Architect distributed, event-driven, and microservices-based systems similar to public cloud platforms. Leverage containers, Kubernetes , and hybrid virtualization environments ( Hypervisor, OpenStack ) in architecting it. Technology Evaluation & Strategy : Evaluate and recommend the right mix of tools, frameworks, and design patterns for each project, balancing performance, cost, scalability, and maintainability. Infrastructure & DevOps Alignment : Define infrastructure as code ( IaC ) strategies and embed DevOps , AIOps , and MLOps practices into system delivery pipelines. Integrate tools like GitLab , Jira , and cloud-native CI/CD workflows. Data & Integration Architecture : Design secure, high-performance system and database architectures using PgSQL , MongoDB , Redis , InfluxDB , Kafka , and ESB patterns to support real-time, analytical, and transactional workloads. Scalability & Resilience : Leverage knowledge of distributed computing , SDN/SDS , and container orchestration to build robust systems capable of handling high throughput with minimal latency and failure recovery. UML & Technical Documentation : Develop and maintain comprehensive UML models , architectural diagrams, and technical documentation that effectively communicate design intent across technical and non-technical stakeholders. Mentorship & Governance : Provide architectural oversight, code-level guidance, and mentorship to development teams. Ensure adherence to architectural standards, KPIs, and KRAs through reviews and active collaboration. Continuous Innovation : Stay at the forefront of emerging technologies and best practices. Propose architectural improvements that leverage advancements in AI/ML , cloud-native development, and intelligent automation. Deep expertise in cloud platforms engineering such as AWS, Azure, or GCP. Strong understanding of architectural patterns and design principles, including Event-Driven Architecture, distributed computing, enterprise bus, microservices, and high-performance computing. Proficiency in architecture diagramming tools and documentation. Strong foundation in data structures and algorithms, with a passion for programming (Python, Go preferred). Excellent leadership and communication skills. Strategic mindset with the ability to assess long-term implications of architectural decisions.
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