Responsibilities: Design end-to-end architecture for our platform focused on work management, asset lifecycle, preventive maintenance, and mobile workforce enablement. Translate business requirements into scalable, secure technical architectures. Define and maintain architecture artifacts , including solution blueprints, API designs, data models, and integration patterns. Drive architectural decisions across cloud infrastructure, microservices, data storage, and third-party system integrations (e.g., GIS, ERP, SCADA, CMMS). Collaborate with engineering and product teams to ensure solutions are delivered on time, within scope, and aligned with the long-term technical vision. Work closely with enterprise clients and internal stakeholders to understand unique use cases and tailor scalable solutions. Ensure compliance with industry standards and best practices for security, performance, and scalability. Mentor developers and contribute to architectural governance processes. Requirements: Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. 8+ years of experience in software architecture, including work on SaaS or enterprise platforms. Solid experience designing cloud-native applications, preferably on AWS or Azure . Strong understanding of asset management , field service management , or maintenance operations . Proficiency in designing and consuming RESTful APIs , microservices , and message-based architectures . Experience with integration patterns and technologies such as middleware , ETL , webhooks , or ESB . Excellent problem-solving abilities and strategic thinking. Strong communication and stakeholder management skills. Ability to manage multiple projects and deadlines simultaneously. Demonstrated leadership and team collaboration skills.

Requirements 5+ Years of experience in Core Java, J2ee, JSF, Web services, XML Must be proficient in HTML, JavaScript Experience working with MongoDB will be a big plus Experience working with Version control Bitbucket Excellent Communication skills, debugging skills Excellent analytical and problem-solving abilities Experience in integrations with 3rd party systems and a good knowledge of data modeling would be an advantage Nice to have : Past experience with Maximo, Work & Asset Management (WAM), Enterprise Asset Management, Field Service Management, and Mobile Workforce Management products Self-motivated, detail oriented and organized Ability to work independently and as a team member B.Tech, BE, Engineering in Computer Science, Masters preferred

We are seeking a skilled and motivated Lead Data Analyst to oversee the successful implementation and ongoing support of KloudGin's Business Intelligence (BI) solutions for all customers. Leveraging AWS Redshift and Amazon QuickSight, this role will ensure seamless BI integration, data accuracy, ETL optimization, and manage release upgrades, daily operations, and internal reporting needs. Responsibilities: Lead and manage the end-to-end implementation of KloudGin's BI solutions across all customer projects, ensuring timely and high-quality delivery. Oversee and optimize ETL processes to ensure efficient data handling, storage, and retrieval within the BI framework. Manage daily operations, including bug tracking, prioritizing enhancements, and coordinating resolutions with both the technical team and customer contacts. Develop and manage internal reports and dashboards to support decision-making, providing insights into KPIs and operational metrics for key stakeholders. Coordinate with customers to plan and execute BI-related activities for each new release, ensuring minimal disruption and seamless upgrades. Oversee the health and performance of BI systems, working with the infrastructure team to ensure data integrity, speed, and reliability. Work closely with Product Engineering and Customer Success teams to understand requirements, align on priorities, and provide feedback for product improvements. Troubleshoot technical issues and provide solutions to ensure smooth operation of QuickSight dashboards. Identify opportunities to improve data analysis processes and enhance overall data analytics capabilities. Ensure comprehensive documentation and knowledge transfer, providing training and guidance to internal teams and end-users as needed. Requirements: Bachelors or Master’s degree in a Relevant Field such as Data Science, Business Analytics, Information Systems, or Computer Science. 6+ years of progressively increasing professional experience in Data Analytics, with at least 3+ years in a senior-level role. 3+ years’ experience in Amazon QuickSight and SQL. Strong experience in building visualizations, dashboards, and reports using QuickSight. Strong SQL skills for data extraction, transformation, and loading from various data sources. Experience working closely with stakeholders to understand needs and define analytic requirements. Experience with data warehousing concepts and ETL processes. Cloud Computing and AWS Experience. Excellent Communication and Collaboration, Analytical and Problem-Solving Skills.