[25/10/2025] Lead SW Architect

Job Description Key Responsibilities: SaaS Architecture & Development: - Lead the design and implementation of end-to-end SaaS solutions that are scalable, observable, and reusable, with a focus on cloud-agnostic services. - Architect software solutions with high scalability and high observability for cloud applications, ensuring that the software is built to scale effortlessly as the business grows. - Implement containerized applications, utilizing tools like Docker, and orchestrate resource management for deployment and scaling. - Contribute to SaaS Ops maturity practices by ensuring one-click deployment, BIC monitoring, and performance tuning. - Lead product security efforts, ensuring all solutions are secure and comply with industry standards. Machine Learning & AI Algorithms: - Implement statistical, machine learning (ML), and predictive models (both supervised and unsupervised) as part of the CRISP-DM process. - Build domain-specific large language models (LLMs), incorporating techniques like RAG (retrieval-augmented generation) and agentic AI for advanced use cases. - Work on asset lifecycle prediction algorithms, integrating predictive analytics into product offerings. IoT Cloud Application Development: - Lead the development of IoT-based cloud applications, focusing on scalable, highly available services. - Architect and develop Azure-based applications and integrate Azure ML platform for enhanced analytics and predictive capabilities. - Use Python, Java, .NET, and C# for full-stack development, creating highly scalable and performant applications. Cross-Functional Collaboration: - Collaborate with internal and external customers, partners, and vendors to define business requirements and translate them into technical solutions. - Interface with different scrum teams, ensuring timely delivery of software and integration of best practices. - Provide technical mentorship to junior team members and guide the development process to ensure quality and consistency. Product Costing & Quality: - Engage in product costing, ensuring that all solutions are economically viable and aligned with business goals. - Focus on code coverage, performance testing, and automated UI testing to ensure the product's quality. - Conduct benchmarking of product performance and ensure continuous improvement in performance metrics. Customer Support & Product Deployment: - Provide technical support during product deployment and post-deployment phases, ensuring that products meet customer needs. - Develop automated UI testing frameworks to streamline deployment and enhance the customer experience. - Manage product deployment and integration with existing systems, ensuring smooth delivery to customers. Innovation & Problem-Solving: - Leverage your creativity and innovation to design novel solutions to complex technical problems. - Work with the team to continuously explore, devise, and implement AI algorithm stacks that are tailored to the industrial domain. - Contribute to product innovation by developing new features and enhancing the existing SaaS offering based on user feedback and business requirements. Qualifications: Must Have: - Bachelor's/Master's degree in Computer Science, Software Engineering, or a related field, with 14+ years of experience in SaaS software development or product development. - Proven expertise in C#, .NET core, and REST API development. - Experience with IoT-based cloud applications and familiarity with Azure Cloud-based development. - Strong experience working with Azure ML platform for building and deploying machine learning models. - Expertise in Data Science, including Gen AI, RAG (Agentic AI, LLM), predictive modeling, deep learning, and natural language processing (NLP). - Solid knowledge of Python, Java, Scikit-learn, Keras, Langchain, LangGraph, Seaborn, Streamlit, and Gradio. - Extensive experience with containerization and microservices-based development using Docker. - Experience with SQL (PostgreSQL) and NoSQL databases like Cassandra. - Familiarity with cloud platforms such as Azure and GCP, and experience deploying cloud-based applications at scale. - Strong experience with DevOps tools, Git, and continuous integration/continuous deployment (CI/CD) pipelines. - Ability to design software with an understanding of product market fit, pilots, scale strategy, and customer needs. Nice to Have: - Industry experience in industrial automation, building automation, or digital controls. - Business acumen and understanding of product costing, with the ability to align software solutions with business objectives. - Excellent communication skills, with the ability to articulate architecture, technical concepts, and business value to stakeholders. - Strong problem-solving and analytical skills, with a drive to innovate and deliver novel solutions in complex scenarios. - Experience in customer-facing roles, with the ability to engage with partners, clients, and internal stakeholders to meet business requirements. Tools & Technologies: - Programming Languages: C#, .NET Core, Java, Python - Cloud Platforms: Azure, GCP - Machine Learning/AI: Azure ML, Langchain, LangGraph, Scikit-learn, Keras, Seaborn, Streamlit, Gradio - Databases: SQL (PostgreSQL), NoSQL (Cassandra) - DevOps Tools: Docker, Git, CI/CD Pipelines - Data Science Tools: PowerBI, Pycharm