110 Edge Computing Jobs - Page 5

Interface with industrial protocols: OPC UA/DA, Modbus, BACnet.Configure telemetry pipelines using REST APIs, WebSockets, gRPC. Generate network diagrams, configuration documents, and audit. validate Orbital edge devices at industrial client sites.

Design, deploy, and maintain hybrid cloud infrastructure for OT edge environments. Manage on/off-premise platforms, ensure secure network continuity, and lead integration of edge compute solutions across IT/OT systems. Required Candidate profile 8–15 years of experience in Azure and VMware-based hybrid infrastructure. Proficient in OT systems, virtualization, network security, and automation. Strong leadership, edge deployment

Design, deploy, and manage secure Azure cloud and on-prem infrastructure for OT systems and connected worker technologies including XR, RTLS, and IoT. Ensure system uptime, optimize performance, and support field installations. Required Candidate profile Bachelor’s in Computer Science/IT with 5–10 years' experience in Azure cloud infrastructure for OT. Proven skills in XR/RTLS deployment, automation, field device lifecycle, and hybrid cloud systems.

Dear Candidate, Seeking an Edge Cloud Architect to build decentralized architectures for low-latency applications. Key Responsibilities: Design hybrid edge-cloud systems. Deploy services near the user using CDNs or edge locations. Optimize performance for IoT, gaming, and media applications. Required Skills & Qualifications: Experience with Cloudflare Workers, AWS Wavelength, or Azure Edge Zones. Strong networking and latency optimization knowledge. Proficiency in lightweight, distributed architectures. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Job Description : This is what you are responsible for : - Lead the architectural design and implementation of scalable, reliable, and high - performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Ensure that all software architecture aligns with security, performance, and reliability standards. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high- quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements.Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge - based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high - performance, low - latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware - software co - design, embedded systems, and edge computing solutions is a plus. - Excellent problem - solving and communication skills, with the ability to explain complex technical concepts to both technical and non - technical stakeholders.

We are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect , you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions. This is what you are responsible for : - Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements. Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge-based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high-performance, low-latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus. - Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Preferred qualifications : - Experience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines. - Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing. - Experience working in a fast-paced, startup environment is a plus. What you will gain : - Be part of a pioneering team shaping the future of AI and edge computing. - Work on innovative projects that solve real-world challenges. - Opportunity to grow with a dynamic, forward-thinking company. - Competitive salary, benefits, and a collaborative work environment.

- Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Ensure that all software architecture aligns with security, performance, and reliability standards. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements. Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge-based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high-performance, low-latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus. - Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Job Purpose/Summary : We are seeking an enthusiastic and tech-savvy Industrial IoT Engineer passionate about solving industrial challenges through cutting-edge IoT solutions. The candidate will be responsible for supporting industrial IoT applications, troubleshooting issues, and developing innovative use cases that optimize industrial processes. Key Responsibilities : Provide technical support for Industrial IoT solutions and troubleshoot issues. Develop and implement IIoT use cases to enhance industrial efficiency. Execute IoT IMAC (Install, Move, Add, Change) tasks. Work with IoT devices, cloud platforms, and edge computing for scalable solutions. Collaborate with industrial teams to identify challenges and propose solutions. Key Performance Indicators : Configure and maintain industrial protocols (MQTT, OPC UA, Modbus, TCP/IP, UDP). Develop preventive maintenance schedules, reporting systems, alerts, and Grafana dashboards. Ensure efficient data collection, processing, and analysis for predictive maintenance. Stay updated with IIoT trends, security practices, and emerging technologies. Qualifications : Bachelors degree in Engineering, Electronics, Computer Science, or related fields. 2–3 years of hands-on experience in IoT engineering. Strong troubleshooting and problem-solving skills in industrial environments. Experience with Azure Cloud, PLC, SCADA, and industrial automation. Proficiency in Python , JavaScript , and Node-RED . Familiarity with SQL, NoSQL, and Time-Series databases. Knowledge of edge computing and embedded systems. Expertise in OS installation and hardware troubleshooting. Excellent communication and teamwork skills. Functional Skills/Competencies : Hands-on experience with Raspberry Pi, Arduino, or other IoT hardware. Basic knowledge of Linux and Bash scripting. Familiarity with Git, Docker, and cybersecurity for industrial IoT.

Job Title: Solution Architect Experience: 4+ Years Location: Bangalore, India Company: Citriot.ai Employment Type: Full-time About Citriot.ai At Citriot.ai, we're shaping the future of intelligent infrastructure and real-time AI-powered systems. Our mission is to enable enterprises, public systems, and industries to harness computer vision and deep learning at the edge delivering smart, scalable, and secure solutions. Headquartered in Bangalore, we specialize in edge AI, video intelligence, and digital transformation solutions for sectors like transportation, logistics, manufacturing, and public safety. Role Overview As a Solution Architect at Citriot.ai, youll design, develop, and deploy scalable AI/ML and IoT solutions. You will bridge the gap between customer needs, product capabilities, and technical implementation, collaborating with cross-functional teams to create impactful architectures. Key Responsibilities 1. Solution Design & Architecture Design end-to-end system architectures integrating edge AI, IoT, and cloud components. Evaluate and select the right technologies/frameworks for performance, scalability, and security. Prepare architectural blueprints, data flow diagrams, deployment strategies, and tech stack recommendations. 2. Client Engagement & Pre-sales Support Collaborate with sales/product teams to understand client needs and propose tailored solutions. Present architectural strategies and prototypes to clients and stakeholders. Lead technical discussions, demos, and workshops with enterprise/government clients. 3. Project Implementation & Oversight Provide hands-on technical leadership during development and deployment. Review code and system design for compliance with architectural principles. Troubleshoot complex issues during integration, deployment, and maintenance. 4. Cross-functional Collaboration Work with data scientists, DevOps, product managers, and designers to align tech direction with business goals. Define and enforce best practices in software engineering, CI/CD, and microservices deployment. 5. Documentation & Governance Produce technical documentation, architectural decision records, and risk assessments. Ensure compliance with security standards, data privacy laws, and SLAs. Key Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. 4+ years in designing & developing technical solutions (2+ years in architecture/technical leadership). Strong background in edge computing, computer vision, or AI/ML systems . Deep understanding of microservices, containerization (Docker, Kubernetes) , and cloud platforms (AWS, Azure, GCP) . Experience with IoT protocols (MQTT, RTSP, WebSockets) and real-time streaming (Kafka, WebRTC). Proficiency in Python, Java, or Node.js (frontend familiarity is a plus). Knowledge of DevOps, CI/CD pipelines, Git, Terraform, Ansible . Strong skills in API integrations, SQL/NoSQL databases, and distributed systems. Preferred Skills Experience with AI video analytics platforms and IIoT/IoT. Exposure to NVIDIA Jetson/Xavier/Orin or other edge AI hardware. AWS Solutions Architect (or equivalent) certification. Understanding of enterprise/government procurement and large-scale rollouts. Why Join Citriot.ai? Be part of a fast-growing AI tech company creating real-world impact. Work with cutting-edge tech in computer vision, edge computing, and real-time analytics. Competitive compensation + performance-based growth. Collaborative, innovation-driven culture. Opportunity to make a visible impact in smart cities, logistics, and public safety domains.

An excellent opportunity for young and ambitious sales professionals interested to develop his/her career in this highly innovative company for their Industrial Automation vertical. Your Tasks: * Understanding customers specific business needs and applying product knowledge to meet those needs. * Preparing Offers, Negotiating & Closing the deal * Identifying and developing new business * Marketing and promoting a portfolio of products * Technical & commercial tracking of projects * Meeting sales targets set by managers and contributing to team targets. * Networking with existing customers in order to maintain links and promote additional products and upgrades. * Design and implement a strategic business plan that expands the companys customer base and ensures its strong presence. * Identify emerging markets and market shifts while being fully aware of new products and competition status. Skills * Candidates preferred with IIOT / Automation Products sales/business development experience. * knowledge towards latest Technologies like Cybersecurity, LTE/ LoRA/WiFi Technologies, Edge computing, Cloud Connectivity, Artificial Intelligence, Industry 4.0 * You should be Technically inclined and should have enthusiasm to learn new technology and implement it commercially. * Excellent in communication, be flexible to work individually or in teams * Open for feedback and enjoys working in a fast-paced, constantly iterating environment Qualification: BE / BTech in Field of Electronics /Telecom & Instrumentation Candidate with MBA, CCNA & Automation courses certification will be given preference Preferred experience: 1-6 years