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InfraCloud Technologies

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Artificial Intelligence • SaaS • Cloud Engineering

InfraCloud Technologies is a company specializing in cloud native technologies and services. They provide expertise in building, modernizing, and managing cloud infrastructure using Kubernetes and open source technologies. InfraCloud offers a range of services such as AI infrastructure consulting, platform engineering, and application modernization. The company is recognized for its capabilities in DevSecOps, observability, and containerization, and is a trusted partner for deploying and managing Kubernetes-based solutions. They also contribute to open-source projects, enhancing their offerings in areas like site reliability engineering and cloud native product development.

201 - 500 employees

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Architect & Design highly scalable, event-driven microservices applications. • Lead Technical Delivery — own end-to-end system design, from proof-of-concept to production. • Drive Cloud-Native Adoption — leverage containerization, orchestration, and cloud services (AWS/Azure). • Implement Observability — design logging, monitoring, and tracing solutions (e.g., ELK, Datadog, OpenTelemetry). • Optimize Data Storage — design, utilize and manage SQL/NoSQL databases and caches. • Mentor Engineers — foster technical excellence, guide architectural decisions, and lead by example. • Collaborate Cross-Functionally — partner with product, compliance, and infrastructure teams to align on business goals.

🎯 Requirements

• 8+ years of professional software development experience, with 2+ years in a technical leadership role. • Proven track record in building distributed, event-driven, microservices-based applications in Java and Spring. • Expertise in designing, implementing event-driven architectures using message streaming platforms like Kafka, RabbitMQ, etc. • Strong understanding of cloud platforms (AWS) and cloud-native architectures. • Drive application containerization and hosting applications in container orchestrators like Kubernetes. • Experience leveraging API Gateway solutions, like Kong, for secure and efficient API management. • Hands-on with SQL/NoSQL databases (Postgres/Oracle, MongoDB/Cassandra, Redis, or similar). • Experience implementing workflow engines like Temporal, Camunda, etc. • Strong expertise in Domain-Driven Design (DDD) for large-scale, complex systems. • Strong problem-solving skills and ability to make trade-offs in architecture and design. • Excellent communication skills with the ability to explain complex technical topics to diverse audiences.