About the Role: As a C++ Developer at WITS Corp , you'll play a full-stack role within the industrial automation ecosystem building the robust back-end logic in C++ and collaborating on integrations across devices, communication layers, and cloud platforms . You'll work on designing, developing, and optimizing real-time control systems , enabling secure data exchange between field devices and enterprise systems. Role & responsibilities: Design, develop, and maintain real-time control systems using C++ . Write, debug, and optimize multithreaded and high-performance code . Participate in the architecture and design of complex software systems . Implement and maintain communication protocols such as OPC UA, MQTT . Work with TLS encryption, HTTPS, and certificate management for secure data communication. Collaborate cross-functionally with product, testing, and cloud teams to deliver integrated solutions. Ensure scalability, performance, and reliability of the system across environments. Preferred candidate profile: Bachelors degree in Computer Science , Software Engineering , or equivalent. 7+ years of software development experience with at least 5 years in C++ (real-time systems) Strong hands-on experience in multithreading, debugging, and performance tuning . Proven experience in architecture and design of large-scale software systems. Familiarity with Industrial Automation protocols such as Modbus, Ethernet/IP, Omron FINS, Siemens S7, Emerson/Fisher ROC, ABB Totalflow (DB/DB2) . Exposure to .NET / C# development and cloud IoT platforms (AWS, Azure) is a plus. Strong understanding of security principles across devices, connectivity, and cloud. Excellent problem-solving, communication, and collaboration skills. Willingness to work in a hybrid model (3 days onsite Hyderabad) .
Role & responsibilities 10+ years of experience in software engineering, including 35 years leading technical teams, and hands-on experience building cloud-native or AI platform services. Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Experience leading technical teams, mentoring, performance management. Should be experienced in planning, scheduling, resource allocation, risk management, and stakeholder communication. Excellent verbal and written communication skills for interacting with developers, testers, product teams, and senior management. Excellent problem-solving skills, with the ability to analyze complex technical challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow. Key Responsibilities: Oversee the architectural design of scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Provide technical guidance and mentorship to the development and testing teams, acting as a trusted escalation point for complex technical challenges. Translate high-level business requirements from portfolio into clear actionable technical requirements and features for the AI platform. Manage the platforms backlog and make decisions on release cycles and service enhancements. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Lead, mentor and grow a high-performing team of AI Platform developers and testers, fostering a culture of continuous learning, and contribute to a culture of innovation.