Role & responsibilities We are building an industry cloud platform that serves multiple verticals, starting with automotive and the paint industry. Our vision is to create a scalable, modular, and extensible system that supports complex workflows through a drag-and-drop no-code framework.As a Software Architect, you will work on design and evolve our platform architecture. You will bring deep expertise in scalable, high-performance systems and help define the technical roadmap to support our growing customer base.Key Responsibilities Architect & Design: Define the system architecture for a multi-tenant cloud platform, ensuring modularity, scalability, and security. No-Code Framework: Design a robust drag-and-drop UI framework using React to enable users to build and customize applications. Backend & Data Processing: Architect and optimize Node.js services, ensuring efficient integration with other components and systems. AI/ML Integration: Work on incorporating AI/ML capabilities into the platform for automation, analytics, and intelligent decision-making. Performance & Scalability: Optimize the system to handle high traffic, distributed data processing, and real-time analytics. Integration & APIs: Define APIs and integration patterns to enable third-party integrations and multi-cloud deployments. Mentorship: Guide engineering teams on best practices, coding standards, and architectural patterns.Preferred candidate profile 10+ years of experience in software architecture, with a strong background in distributed systems, cloud platforms, and microservices. Proficiency in Node.js, React, and AI/ML technologies. Hands-on experience with Kubernetes, containerization, and serverless architectures. Experience in high-performance computing, caching (e.g. Redis), event-driven architectures, and large scale systems.A plus Experience in designing no-code/low-code platforms or workflow automation systems. Passionate about building developer-friendly tools and scalable infrastructure.Why Join Us? Opportunity to define and build an industry-first cloud platform. Work closely with a highly experienced CTO with a track record of building successful enterprise systems. Be part of a fast-growing, early-stage team where you can make a significant impact. Competitive salary, equity options, and flexible work arrangements.

Interested candidate can share profiles on shaileshp@excellonsoft.com and parikshitj@excellonsoft.comRole & responsibilities Revenue Assurance and Accounting Managing bookkeeping and review the day today transactions Ensuring the compliance with standards for maintenance of books of accounts Effectively control the monthly invoicing as per contracts Responsible for day-to-day transitions and forecasting and analysis Co-ordination with statutory auditors for timely execution of audit GST Compliance and filings Preparing various MIS reports and present to management Control the fixed asset and other payable Preparing fund allocation report Conducting various analysis to effectively support management decision makingPreferred candidate profile Financial Planning and Revenue Accounting. Expert in MS-EXCEL and MIS data preparation Finalization of accounts Billing, payments and receivables management Audit assistance and preparing audit schedules (Tax and Statutory) Follow-ups with client for payment and reconciliation Well versed with accounting standards and Tax laws

JOB SUMMARY:We are seeking a skilled Application Support Manager to lead and manage a team responsible for maintaining, troubleshooting, and optimizing business-critical applications. This role involves overseeing daily support operations, client and stakeholder management, ensuring high availability of applications, and collaborating with cross-functional teams to enhance system performance. The ideal candidate will have strong leadership, technical, client and stakeholder management and problem-solving skills to drive continuous improvements in application support services.KEY RESPONSIBILITIES:Application Support & Maintenance:Oversee the support and maintenance of enterprise applications to ensure optimal performance and availability.Monitor application health, troubleshoot issues, and coordinate resolutions with internal teams and external vendors.Implement and enforce best practices for incident, problem, and change management.Develop and maintain documentation for application support, including workflows, troubleshooting guides, and FAQs.Team Management & Leadership:Lead and mentor a team of application support analysts and engineers.Assign tasks, set performance goals, and provide regular feedback to team members.Ensure adequate training and knowledge transfer within the team.Stakeholder & Vendor Management:Act as a point of contact between IT teams, BUs, and external vendors for application-related issues and enhancements.Work closely with stakeholders to understand their needs and ensure applications meet operational requirements.Manage vendor relationships, service level agreements (SLAs), and contract negotiations.Process Improvement & Optimization:Identify opportunities for automation and efficiency improvements in application support processes.Drive continuous improvement initiatives to enhance application stability, performance, and user experience.Ensure compliance with IT security policies, data protection regulations, and industry standards.Project & Change Management:Participate in system upgrades, migrations, and new application deployments.Collaborate with development teams to test and deploy new features or fixes.Manage application release cycles and ensure minimal disruption to business operationsREQUIRED QUALIFICATIONS AND SKILLS:Education & Experience:Bachelors degree in computer science, Engineering, Information Technology, or a related field.6+ years of experience in application support, IT service and stakeholder management, or a similar role.Prior experience leading a technical support team.Technical Skills:Should be from an IT development background and having experience of enterprise applications and cloud platforms.Should be able to at least understand basic coding. Familiarity with IT service management (ITSM) tools (e.g., ServiceNow, Jira, Remedy).Soft Skills:Excellent leadership, communication, and interpersonal skills.Strong analytical and problem-solving abilities.Ability to work under pressure and manage multiple priorities.Customer-focused mindset with a proactive approach to issue resolution.Preferred Qualifications:ITIL certification or experience with knowledge of cloud services.Experience working in Agile or Azure DevOps environments.Interested candidates who have worked in an IT Product or IT Services and having strong experience of Application Support can email their CVs to parikshitj@excellonsoft.com or careers@excellonsoft.com

Role & responsibilities Architect and lead the development of machine learning solutions, aligning with business objectives and strategic initiatives.Oversee a team of data scientists and engineers, providing technical guidance and mentorship.Develop and implement advanced machine learning models, including deep learning, time series forecasting, and natural language processing.Collaborate with cross-functional teams to identify opportunities for ML-driven solutions and translate business requirements into technical specifications.Build and maintain robust ML pipelines, incorporating data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.Leverage cloud platforms (e.g., Azure) for efficient ML model development, training, and deployment.Drive the adoption of MLOps practices to improve model lifecycle management and operational efficiency.Utilize data visualization tools (Superset, Power BI) to communicate insights and drive data-informed decision making.Experience in developing Analytics, Machine learning offerings end to end including training models, serving models using standard frameworks like TF/TFX/Pytorch/Azure AIML, deployments at scaleEmbeddings and Vector Space Model Expertise: Good knowledge of embedding techniques and vector space models as they apply to generative AI. This includes creating, tuning, and leveraging embeddings for various types of data (text, images, etc.).Large Language Model Proficiency: Experience in working with LLMs, particularly in their application to embeddings and vector space models. Ability to fine-tune these models for specific applications.Preferred candidate profileAdvanced degree in Computer Science, Statistics, or a related field.10-12+ years of experience in machine learning and data science.Proven experience in architecting and implementing large-scale ML systems.Strong proficiency in Python and related ML libraries (TensorFlow, PyTorch, Scikit-learn).Expertise in data engineering, including data extraction, transformation, and loading (ETL) processes.Experience with cloud platforms (Azure preferred), big data technologies, and containerization.Demonstrated ability to lead and mentor data science teams.Excellent communication and interpersonal skills.