Lead SW Architect

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