We are seeking a skilled Full Stack .NET Developer with expertise in .NET (C#, ASP.NET) , SQL , WCF/Microservices , REST APIs , and React.js . The role involves developing and maintaining web applications, building reusable components, optimizing performance, and ensuring seamless deployment across different environments. The ideal candidate should have experience in translating wireframes into high-quality code, troubleshooting issues, and enhancing application functionality. Strong knowledge of both front-end and back-end technologies is essential. Experience with third-party integrations (e.g., CBORD, EDI 832, SAP, Oracle eBiz, QuickBooks, Zebra Printers) and GitHub Copilot is a plus. Key Responsibilities: Develop and maintain web applications using .NET (C#, ASP.NET) and React.js . Design and implement REST APIs and microservices (WCF/Microservices). Work with SQL databases for backend data management. Optimize and enhance application performance across various devices and browsers. Deploy applications in different environments, ensuring stability and scalability. Collaborate with UI/UX designers to translate wireframes into high-quality code. Troubleshoot and resolve defects or issues in the application. Build reusable components and front-end libraries for future use. Skills Requirements: Mandatory Skillset: .NET (C#, ASP.NET) SQL WCF / Microservices REST APIs React.js Secondary Skillset: Same as mandatory; emphasis on solid working knowledge across full stack. Good to Have Skills: GitHub Copilot Experience with third-party integration implementations such as: CBORD Integration EDI 832 Integration DSS Integration Shibboleth MFA Barcode Scanner InfoGenesis POS Zebra Printers Synergy International SAP Integration QuickBooks Integration Oracle eBiz PCC Integration Elder Mark Integration Ideal Candidate Attributes: Proficient in creating scalable , secure , and high-performance applications . Passionate about developing modern , efficient , and user-friendly applications. Ability to work in an agile development environment with cross-functional teams.

As a Data Architect, you will lead the evolution of our data platform, defining and implementing a scalable, cloud-based data architecture to support our rapid growth and AI-assisted transformation. You will play a key role in migrating to a to-be architecture, ensuring seamless data integration, performance optimization, and security across relational and non-relational databases. You will collaborate closely with engineering, product, data managers, and business teams to design and implement data solutions that support our SaaS platform, AI-driven automation initiatives, analytics, and operational excellence. As part of an Agile/Scrum environment, you will ensure our data infrastructure aligns with modern cloud-native best practices and enables rapid innovation. Key Responsibilities: Data Architecture & Strategy Design and implement a scalable, high-performance data architecture for a cloud-based SaaS platform. Develop a roadmap for modernizing the data ecosystem, supporting AI-assisted coding and test automation. Define and enforce data governance standards, ensuring data integrity, security, and compliance with best practices. Lead the migration and transformation from existing architectures to a future-state model, optimizing for growth, resilience, and AI capabilities. Re-architect complex database structures, including various data models, relationships, and schema, to optimize performance and scalability. Design and implement backup, recovery, purging, and archival strategies to protect against data loss while maintaining system efficiency. Database & Data Engineering Architect relational (SQL Server 2019, T-SQL) and non-relational (NoSQL) databases to support application and analytics needs. Optimize database performance, indexing strategies, and query execution for scalable SaaS applications. Develop data pipelines (ETL, APIs) for seamless integration across applications, third-party services, and AI tools and models. Cloud & Integration Design cloud-native data solutions leveraging Azure. Define best practices for data integration, API-based connectivity (ServiceStack, WCF), and microservices architectures. Ensure scalability, availability, and disaster recovery strategies are in place for all data solutions. Security & Compliance Establish data security best practices, including encryption, access control, and compliance (SOC 2, HIPAA, ISO27001). Lead efforts to improve data privacy and implement role-based access control (RBAC) and identity management. Collaboration & Leadership Partner with engineering teams to guide data-driven application development, particularly in .NET (C#), JavaScript (React, Redux), and SQL environments. Collaborate with AI/ML teams to support AI-driven automation, data modeling, and predictive analytics initiatives. Mentor data engineers and developers in best practices for data modeling, performance tuning, and cloud-based architectures. Work in an Agile/Scrum environment, participating in sprint planning, backlog refinement, and cross-functional collaboration. Requirements & Qualifications: 7+ years of experience in data architecture, database design, and cloud-based data solutions. Strong knowledge of SQL Server 2019 (T-SQL), and NoSQL databases. Experience with ETL, data integration, and API-based data exchanges. Expertise in cloud platforms (Azure, AWS, or GCP) for data infrastructure. Strong proficiency in data modeling tools and techniques. Experience designing and implementing secure, compliant data solutions. Prior experience in Agile/Scrum environments with a strong understanding of iterative development.

Required Skills and Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Experience: 3+ years of experience working with SQL Server (versions 2016, 2017, 2019, or later). Strong hands-on experience with: T-SQL Stored procedures Triggers Functions Experience with SQL Server Management Studio (SSMS), SQL Profiler, and other SQL Server tools. Experience in database design, normalization, and indexing strategies. Technical Skills: Strong proficiency in SQL query optimization and performance tuning. Familiarity with: SQL Server Reporting Services (SSRS) SQL Server Integration Services (SSIS) (both are a plus) Understanding of database security, backup, and recovery techniques. Knowledge of database clustering, replication, and high-availability solutions (e.g., AlwaysOn, mirroring). Soft Skills: Strong problem-solving and analytical abilities. Excellent communication skills for working with cross-functional teams. Detail-oriented, with the ability to work independently and manage multiple tasks.

Job Title: Senior Operations Specialist (L1/L2 Support Business Support) Experience: 710 Years Shift: Night Shift (8 AM to 5 PM EST) Job Summary: We are seeking a highly skilled Senior Operations Specialist with 710 years of experience to provide L1/L2 support and business support for our operations team. Key Responsibilities: Provide L1/L2 support for business users and technical teams. Work closely with internal stakeholders to resolve business and operational challenges. Analyze system performance, identify bottlenecks, and recommend improvements. Respond to incidents, service requests, and technical queries efficiently. Coordinate with product vendors and IT teams to escalate and resolve complex issues. Maintain proper documentation of issues, resolutions, and troubleshooting processes. Conduct training and knowledge-sharing sessions as needed. Ensure adherence to SLAs and compliance standards. Required Skills & Qualifications: 710 years of experience in operations support, L1/L2 support, or business support roles. Strong analytical and problem-solving skills. Ability to troubleshoot and resolve application and business process issues. Excellent communication and interpersonal skills. Ability to work independently and within a team in a fast-paced, night-shift environment. Strong documentation skills and experience with ticketing tools (e.g., ServiceNow, JIRA, etc.).

Job Title: Senior Operations Specialist (L1/L2 Support Business Support) Experience: 68 Years Shift: Night Shift (8 AM to 5 PM EST) Job Summary: We are seeking a highly skilled Senior Operations Specialist with 68 years of experience to provide L1/L2 support and business support for our operations team. Key Responsibilities: Provide L1/L2 support for business users and technical teams. Work closely with internal stakeholders to resolve business and operational challenges. Analyze system performance, identify bottlenecks, and recommend improvements. Respond to incidents, service requests, and technical queries efficiently. Coordinate with product vendors and IT teams to escalate and resolve complex issues. Maintain proper documentation of issues, resolutions, and troubleshooting processes. Conduct training and knowledge-sharing sessions as needed. Ensure adherence to SLAs and compliance standards. Required Skills & Qualifications: 68 years of experience in operations support, L1/L2 support, or business support roles. Strong analytical and problem-solving skills. Ability to troubleshoot and resolve application and business process issues. Excellent communication and interpersonal skills. Ability to work independently and within a team in a fast-paced, night-shift environment. Strong documentation skills and experience with ticketing tools (e.g., ServiceNow, JIRA, etc.).

We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment and be experts in Microsoft CoPilot and related technologies. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Key Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Designs, deploys, and manages robust LANs, WANs, and wireless networks. Proficient in Cisco technologies, ASA Firewalls, Meraki, Call Manager, and RingCentral, the role ensures network security, troubleshooting, optimized performance, and detailed documentation. Collaboration across teams is essential to deliver seamless and efficient communication solutions. Mandatory Skillset Networking Network & ASA Firewall / SonicWall Meraki Cisco Call Manager RingCentral Secondary Skillset SD-WAN Cloud knowledge (advantageous) Requirements Relevant certifications such as CCNA, CCNP, or CompTIA Network+ are desirable. L1, L2, L3 Support experience. Proven experience in designing, implementing, and managing enterprise-level networks. Strong knowledge of networking protocols and technologies including: TCP/IP, VLAN, OSPF, BGP, MPLS, DNS, DHCP, VPN, SNMP Familiarity with network security: Firewalls, VPNs, IDS/IPS, encryption protocols Experience with network monitoring and management tools. Strong analytical and troubleshooting skills. Effective communication skills (written and verbal) for both technical and non-technical stakeholders.

Key Responsibilities Cloud Architecture & Design: Design and implement scalable, secure, and cost-effective cloud architectures across Azure and AWS. Pre-Sales & Solutioning: Engage with clients to understand business requirements and develop cloud solutions, including responding to RFPs and crafting technical proposals. Technical Documentation & Diagrams: Create high-level and low-level architecture diagrams, design documents, and best practices for cloud adoption. Presentations & Stakeholder Communication: Deliver technical presentations, PPTs, and cloud strategy discussions to clients and internal teams. Migration & Modernization: Assess and execute cloud migration strategies, including lift-and-shift, re-platforming, and re-architecting applications. Security & Compliance: Ensure cloud solutions comply with industry standards such as SOC 2, ISO 27001, NIST, and CIS benchmarks. Automation & Optimization: Utilize Infrastructure-as-Code (IaC) tools like Terraform, ARM Templates, or CloudFormation for automation. Collaboration & Leadership: Work closely with DevOps, engineering, and security teams to drive cloud adoption and best practices. Required Skills & Experience 15+ years of experience in IT, with 10+ years in cloud architecture (Azure, AWS). Expertise in Azure services (VMs, AKS, AAD, Networking, Security, Storage, etc.) and AWS services (EC2, RDS, Lambda, VPC, IAM, etc.). Strong experience with architecture frameworks like TOGAF and Well-Architected Framework (Azure & AWS). Hands-on experience in Infrastructure as Code (Terraform, ARM, CloudFormation) and automation using PowerShell, Python, or Bash. Knowledge of cloud security, identity & access management, and compliance frameworks. Experience working on RFPs, proposals, and pre-sales activities. Strong communication and presentation skills with the ability to create and deliver PPTs, whitepapers, and technical documentation. Experience with hybrid cloud solutions, multi-cloud strategies, and cloud governance. Understanding of networking, VPNs, firewalls, load balancing, and DNS in a cloud environment. Certifications such as Azure Solutions Architect Expert, AWS Certified Solutions Architect. Preferred Qualifications Experience in DevOps, CI/CD pipelines, Kubernetes, and containerization. Familiarity with FinOps and cost optimization strategies for cloud environments. Knowledge of industry regulations and compliance (GDPR, HIPAA, PCI-DSS).

The AI Solution Architect is responsible for designing and overseeing the implementation of AI solutions that align with business objectives and technology strategies. This role involves close collaboration with cross-functional teams, including data scientists, AI engineers, and business stakeholders, to ensure effective integration of AI technologies. The AI Solution Architect will provide technical leadership, define architecture standards, and ensure scalability, security, and maintainability of AI systems. Key Responsibilities AI Solution Design Lead the design and architecture of AI solutions in line with business goals and tech strategies. Develop end-to-end AI architectures including data collection, model development, deployment, and system integration. Collaborate with data scientists and engineers to define model requirements and integrate them into overall architecture. Technical Leadership Guide AI development teams with best practices in model development, data engineering, and system integration. Stay updated on latest AI tools and frameworks and integrate them where appropriate. Lead technical discussions and architecture decision-making. Stakeholder Collaboration Understand business needs and translate them into AI-driven solutions. Act as a bridge between technical and business teams. Present AI designs and architecture, addressing feedback and concerns. Scalability and Performance Design scalable AI architectures to manage high data volumes and complex computations. Optimize models and systems for efficient production performance. Implement monitoring and tuning strategies to ensure system responsiveness. Security and Compliance Ensure AI designs follow security best practices including data protection, privacy, and ethical standards. Ensure regulatory compliance in areas like healthcare, finance, and data privacy. Conduct risk assessments and define mitigation plans. Integration and Deployment Oversee AI integration with existing systems for seamless interoperability. Define and implement CI/CD pipelines for model deployment. Work with DevOps teams to automate deployments and monitor production AI systems. Documentation and Knowledge Sharing Create detailed documentation for AI architectures, data flows, and design decisions. Foster a culture of learning by sharing best practices and conducting workshops. Educate stakeholders on AI technology and applications. Continuous Improvement Assess post-deployment performance of AI solutions and identify improvements. Lead retrospectives and lessons-learned sessions. Drive AI innovation by exploring new use cases and applications. Qualifications Education Bachelor's in Computer Science, Engineering, Data Science, or related field. Master's or relevant certifications (e.g., AWS Certified Machine Learning, Google ML Engineer) preferred. Experience 7+ years in software architecture/design, including 3+ years in AI/ML solutions. Strong hands-on background in AI/ML frameworks like TensorFlow, PyTorch, scikit-learn. Experience in deploying AI solutions in cloud environments (AWS, Azure, GCP). Skills Comprehensive understanding of AI/ML lifecycle: data preprocessing, model training/validation, deployment, monitoring. Strong in data engineering and ETL/data pipeline design. Proficiency in DevOps: CI/CD, Docker, Kubernetes, Git. Excellent problem-solving and complex technical challenge resolution. Strong communication skills to interface with both technical and non-technical stakeholders. Preferred Experience in AI ethics, bias detection, fairness, and transparency. Knowledge in NLP, computer vision, or reinforcement learning. Familiarity with Agile development methodologies.

The Role Contribute to all stages of software development lifecycle Develop and maintain Java-based applications that can be high-volume and low-latency Analyze user requirements to define business objectives Envision system features and functionality Define application objectives and functionality Ensure application designs conform with business goals Develop and test software Identify and resolve any technical issues arising Create detailed design documentation Propose changes to current Java infrastructure Implement technical designs for application development Write well-designed, testable code Conduct software analysis, programming, testing, and debugging Manage Java and Java EE application development Develop documentation to help users Transform requirements into stipulations Prepare and produce releases of software components Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review Requirements Must Have Java 8/11 Concepts Collections Types, Usage, Sorting Multi-threading / Parallelism Considerations, Thread Pool, CompletableFuture, Executor Service Exception Handling Best practices, resource cleanup Design Patterns Singleton, Builder, Factory, Observer Data Structures Sorting/ Search Algorithm Space and Time Complexity Spring Boot, Spring JPA SQL or Postgres REST API API First approach, Methods, Standards, Rest Controller Securing REST API Strong understanding of Spring Security, JWT Microservices Patterns CRUD operations, Performance tuning Unit, Functional & Integration testing Problem Solving / Analytical / Pseudo code logic Troubleshooting Skills Elimination method, approaches to pinpoint issue, tools used, Log levels, best practices Proactive, Self-starter, Collaborative, Strong communication skills (verbal and written) Proven experience in Agile methodology, SDLC & implementation of Projects, debugging the applications Good to Have Kafka / UI Development Angular / React Distributed Systems, Splunk

Role Responsibilities Analyze incoming tickets and requests related to insurance forms, ensuring business needs are captured comprehensively. Perform forms mapping, ensuring that complex forms align with business and regulatory requirements. Collaborate with stakeholders to clarify and document business needs, form workflows, and compliance requirements. Ensure that forms adhere to insurance industry standards and align with legal and regulatory requirements. Manage and prioritize multiple tickets, providing status updates to relevant stakeholders. Provide documentation and support related to forms for business and operational teams. Required Skills and Experience Strong understanding of insurance forms architecture, including declarations, schedules, endorsements, and exclusions. Proven experience working with complex forms, including multi-state variations, layered coverage forms, and conditional endorsements. Familiarity with regulatory filings and form compliance requirements across states. Excellent analytical, communication, and documentation skills. Ability to work independently with minimal supervision and collaborate across cross-functional teams. Experience with policy administration systems (PAS) and form generation tools is a plus. Proficiency in tools like Excel, Word, ADO, Wiki, or similar BA toolsets. Preferred Experience working on PAS modernization or transformation initiatives. Knowledge of other commercial insurance lines (e.g., Property, Auto) is an added advantage. Understanding of forms library management and version control processes. Benefits Remote working

ONLY INTERESTED CANDIDATES AND FRESHERS ONLY FEMALE TELECALLERS We are an established educational institution seeking a friendly and motivated Telecaller to join our team. This is a stress-free, target-free position with no pressure to meet quotas. Your primary responsibility will be to communicate with prospective students, provide information about our courses, and assist them with the enrollment process. What We Offer: A relaxed and joyful work environment No targets or pressure Complimentary snacks provided during work hours Supportive team atmosphere Opportunity to grow within the institution Key Responsibilities: Make outbound calls to potential students Provide accurate information about our courses and programs Address student inquiries and provide guidance on the enrollment process Maintain a positive and cheerful attitude while handling calls Requirements: Minimum of 6 months of telecalling or customer service experience Strong communication skills in Tamil and English Ability to work in a relaxed, non-target-driven environment A positive and enthusiastic attitude Mob No: 9360899780 Job Type: Full-time Pay: ₹8,000.00 - ₹15,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Schedule: Day shift Fixed shift Supplemental Pay: Commission pay Performance bonus Education: Diploma (Preferred) Experience: total work: 1 year (Preferred) Sales: 1 year (Preferred) Work Location: In person Application Deadline: 31/12/2024

Job Highlights Work in a stress-free environment. Work only 6 days per week. Experience the job satisfaction of sharing your knowledge to numerous aspirant students and paving the way for their future success. Earn an excellent salary with high growth prospects. Job Profile This job requires the candidate to train a limited number of students in a few batches everyday; so, only those candidates interested in teaching must apply. Manage and oversee all technical aspects of video editing post-production work. Follow the company's brand guidelines. Should have the capability of visualizing a video from the given blog article. The video must be created with the help of Stock footage, Images, Text animations etc. Candidate profile Should have a minimum 2 years of video editing experience. Proficient in all major video editing softwares like Premiere Pro, After Effects,Maya, Blender, Cinema 4D. Strong video editing skills, including mastery in non-linear editing, colour correction, and special effects. Excellent creativity and storytelling skills, especially the ability to transform raw video into an engaging end product. Job Types: Full-time, Permanent Pay: ₹15,000- 30,000 per month Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Overtime pay Work Location: In person Mobile: 9360899780( We as a Institute, Call me only interested in teaching) Job Type: Full-time Pay: ₹18,000.00 - ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Yearly bonus Education: Bachelor's (Preferred) Experience: total work: 2 years (Required) 3D Animation: 2 years (Required) Work Location: In person Application Deadline: 10/03/2025

Job Highlights Work in a stress-free environment. Work only 6 days per week. Experience the job satisfaction of sharing your knowledge to numerous aspirant students and paving the way for their future success. Earn an excellent salary with high growth prospects. Job Profile This job requires the candidate to train a limited number of students in a few batches everyday; so, only those candidates interested in teaching must apply. Manage and oversee all technical aspects of video editing post-production work. Follow the company's brand guidelines. Should have the capability of visualizing a video from the given blog article. The video must be created with the help of Stock footage, Images, Text animations etc. Candidate profile Should have a minimum 2 years of video editing experience. Proficient in all major video editing softwares like Premiere Pro, After Effects,Maya, Blender, Cinema 4D. Strong video editing skills, including mastery in non-linear editing, colour correction, and special effects. Excellent creativity and storytelling skills, especially the ability to transform raw video into an engaging end product. Job Types: Full-time, Permanent Pay: ₹15,000- 30,000 per month Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Overtime pay Work Location: In person Mobile: 9360899780( We as a Institute, Call me only interested in teaching) Job Type: Full-time Pay: ₹18,000.00 - ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Yearly bonus Education: Bachelor's (Preferred) Experience: total work: 2 years (Required) 3D Animation: 2 years (Required) Work Location: In person Application Deadline: 10/03/2025

ONLY INTERESTED CANDIDATES APPL We are an established educational institution seeking a friendly and motivated Telecaller to join our team. This is a stress-free, target-free position with no pressure to meet quotas. Your primary responsibility will be to communicate with prospective students, provide information about our courses, and assist them with the enrollment process. Requirements: Minimum of 6 months of tele calling or customer service experience Strong communication skills in Tamil and English Ability to work in a relaxed, non-target-driven environment A positive and enthusiastic attitude Mob No: 9360899780 Salary Range: 10k to 15k Job Type: Full-time Pay: ₹8,000.00 - ₹15,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Schedule: Day shift Fixed shift Supplemental Pay: Commission pay Performance bonus Education: Diploma (Preferred) Experience: total work: 1 year (Preferred) Sales: 1 year (Preferred) Work Location: In person Application Deadline: 31/12/2024