Lead Software Architect

Responsibilities:

• Implement end-to-end statistical/ML/analytics solutions following the industry-standard process, CRISP-DM.
• Understand industrial/buildings automation and digital controls.
• Develop domain-specific large language models (LLMs).
• Build asset lifecycle prediction algorithms.
• Understand business requirements and propose suitable solutions.
• Explore, devise, and implement AI algorithm stacks.
• Design architecture for SaaS offerings.
• Software architecture and design.
• Implement Observability and Monitoring for software systems.
• Code and automate unit and acceptance testing.
• Product costing.
• Performance tuning and benchmarking.
• Product deployment and management.
• Product security.
• Customer support.
• Develop automated UI testing frameworks.
• Ability to code in multiple languages.
• Strong analytical skills and software development skills.
• Integration and certification of software components.

Qualifications:

• Required:

• BE/BTech/ME/MTech/MCA with 14+ years of experience in SaaS or Software product development.
• Strong experience with C# and .NET Core.
• Proficient in REST API development.
• Work experience in IoT-based cloud application development.
• Experience in Azure Cloud-based application development.
• Work experience with the Azure ML platform.
• Expertise in Data Science, Gen AI, RAG (Agentic AI, LLM), Predictive Modelling (Supervised, Unsupervised), Deep Learning, and NLP.

Tools & Technologies:

• Languages: Python, Java
• Libraries & Frameworks: Langchain, LangGraph, Scikit-learn, Keras
• Data Visualization & UI: Seaborn, Streamlit, Gradio
• Databases: SQL (PostgreSQL), Cassandra
• Cloud Platforms: Azure, GCP
• Other Tools: PowerBI, Git, Docker, Pycharm

We Value:

• Extensive SaaS software design & development experience with a minimum of 3-4 complete NPI (New Product Introduction) life cycles.
• Hands-on experience in coding, designing, and architecting low-coupled, highly scalable, highly observable, and highly reusable software services and components.
• Extensive technical experience in architecting and designing backend services, web and mobile clients, with awareness of contemporary technology paradigms and practices in the SaaS world.
• Understanding of native cloud services and offerings from leading vendors, and experience in building cloud vendor-agnostic services and components.
• Understanding of resource orchestration software and tools for automating deployment, scaling, and management of containerized applications.
• Expertise in building software with world-class SaaS Ops maturity practices, high observability, one-click deployment, and BIC monitoring practices.
• Highest focus on quality management tools, code coverage, performance testing, and automated UI tests.
• Understanding of product security and applicable tools.
• Awareness of designing and architecting software for incubating SaaS offerings, product market fit, pilots, VOCs, and scale strategy.
• Good understanding of industrial domain opportunities, existing products, offerings, and evolution.
• Ability to engage with end users/customers, partners, and customer relationship management.
• Excellent communication skills, including the ability to articulate architecture, technical concepts, and business presentations.
• Strong business acumen and understanding of product costing.
• Creativity and innovation, with the ability to ideate and drive new solutions.
• Work experience in the IoT domain.
• A drive to learn and master new technologies and techniques, with a strong team player mindset.
• Self-motivated individuals who take initiative and work with minimal supervision, doing things before being asked or forced to do so by events.
• Ability to balance demand and capacity when establishing priorities for the organization.
• Experience in full-stack development with Microsoft and Open-source technologies (.NET C#, .NET Core, scalable services, RESTful APIs, HTML, CSS3, JavaScript, TypeScript, XML, React, Angular).
• Work experience with Docker containerization and microservices-based cloud application development.