Talent.com
Lead SW Architect

Lead SW Architect

ConfidentialBengaluru / Bangalore
30+ days ago
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

    • Skills Required

    C#, .Net Core, Java, Python, Keras, Seaborn

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