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infovision inc.

System Architect

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  • Posted 17 hours ago
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Job Description

About the Role:

We are looking for a highly experienced Principal Architect / Senior Engineering Manager to lead the architecture and engineering of large-scale enterprise IoT and distributed systems platforms supporting 1600+ distributed sites.

The role requires deep expertise in scalable distributed systems, event-driven architectures, microservices, buffering systems, edge-to-cloud platforms, and enterprise-grade reliability engineering. The candidate will drive architecture strategy, platform scalability, multi-tenant system design, and end-to-end solution delivery across IoT, Edge AI, Cloud, and Industry 4.0 ecosystems.

Key Responsibilities:

• Architect scalable multi-tenant enterprise platforms for IoT, Edge Computing, and Industrial systems

• Design Kafka/message-driven buffering architectures for burst handling, replay, reliability, and high throughput

• Define microservices decomposition, API contracts, domain-driven architectures, and distributed workflows

• Lead cloud-native deployments using Kubernetes, Docker, AWS/GCP/Azure

• Design scalable database architectures including partitioning, sharding, and high-availability strategies

• Drive Non-Functional Requirements (NFRs) including latency, throughput, resiliency, observability, SLA/SLO, RTO/RPO

• Build highly reliable systems with replication, failure recovery, idempotency, and data durability guarantees

• Lead engineering teams across architecture, delivery, DevOps, and platform modernization initiatives

• Collaborate with customers, business stakeholders, OEMs, and ecosystem partners for solution definition and execution

• Provide technical leadership in Industry 4.0, Edge AI, Enterprise AI, Telematics, and connected systems

Mandatory Skills:

• Strong expertise in Distributed Systems Architecture

• Hands-on experience with Kafka/RabbitMQ/NATS and event-driven architectures

• Strong C++ programming skills (C++14 or later)

• Experience in Microservices Architecture, REST/gRPC APIs, Protocol Buffers

• Kubernetes, Docker, container orchestration, auto-scaling, traffic management

• Cloud Architecture experience in AWS/Azure/GCP

• Multi-tenant platform architecture and scalability design

• Database architecture expertise in PostgreSQL/MySQL/Time-Series DBs

• Reliability engineering, fault tolerance, backpressure, circuit breakers

• Observability stack: ELK, Prometheus, Grafana, distributed tracing

• Strong understanding of buffering, replay, partitioning, and high-throughput systems

Preferred Skills:

• MQTT, Mosquitto, IoT protocols, LWM2M, CoAP

• Edge AI / Physical AI systems

• CQRS, Event Sourcing, Kafka Streams, Flink

• Industry 4.0, Smart Factory, Automotive Telematics, OT/IT systems

• AI/ML integration, Agentic AI, Edge inference platforms

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About Company

Job ID: 148921979