Senior Solution Architect

Job Title : Senior Solution Architect

Experience : 10 to 15 Years

Location : Bengaluru

Roles & Responsibilities

Own end-to-end solution architecture for Industrial IoT (IIoT), Edge Computing, cloud platforms, sensors, gateways, and enterprise integrations.

Define and govern architecture standards, design frameworks, deployment models, and best practices for scalable edge-to-cloud solutions.

Architect and design edge computing platforms using Kubernetes (k3s), Azure Arc, Azure IoT Operations, and Azure cloud services.

Design microservices-based and event-driven architectures to support secure, scalable, and high-performance industrial applications.

Lead integration of industrial sensors, cameras, gateways, and OT systems with edge and cloud platforms.

Ensure solutions support AI/ML, video analytics, acoustic monitoring, and real-time industrial workloads.

Design secure, resilient, and highly available architectures with strong observability and monitoring capabilities.

Define DevOps, CI/CD, Infrastructure-as-Code (IaC), and automation strategies for platform deployment and management.

Collaborate with Product Owners, Engineering Teams, Operations, and business stakeholders to align technology solutions with business objectives.

Establish architecture governance, security standards, technical reviews, and compliance frameworks.

Provide technical leadership, architecture guidance, and mentorship to development and engineering teams.

Ensure smooth transition of solutions to support teams through documentation, runbooks, and operational handover processes.

Requisites

Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, Engineering, or a related field.

Strong expertise in Solution Architecture, Industrial IoT (IIoT), Edge Computing, and Cloud Technologies.

Hands-on experience with Microsoft Azure services including Azure IoT Hub, Event Hub, Azure Functions, Azure Storage, Azure Data Explorer, and Azure Arc.

Strong knowledge of .NET technologies, Microservices Architecture, and Event-Driven Systems.

Experience designing and governing Kubernetes-based edge platforms (Kubernetes/k3s).

Deep understanding of industrial protocols such as OPC UA, MQTT, and Modbus.

Experience integrating industrial devices, sensors, cameras, and gateways with edge and cloud environments.

Strong understanding of OT environments, industrial networking, and cybersecurity principles.

Experience with DevOps, CI/CD pipelines, Infrastructure as Code (IaC), and automation frameworks.

Knowledge of Hybrid Cloud Architecture and Edge-to-Cloud Integration.

Experience in Manufacturing, Energy, Utilities, Industrial Automation, or similar domains is preferred.