Jobs at TVS Next

Creates and revises 2D and 3D CAD drawings and models using AutoCAD and CREO. Manages CAD data in Windchill, ensures compliance with GD&T and drafting standards, supports engineering change and release processes, and produces BOMs, layouts, assemblies, and exploded views. Collaborates with engineering, manufacturing, and quality teams while maintaining accurate revision documentation.

Develop and maintain scalable C#/.NET desktop applications using WPF and XAML. Build user interfaces, reusable components, data binding, commands, and event handling while applying OOP and clean coding practices. Create PowerShell automation and deployment scripts, integrate databases and APIs, perform testing and debugging, resolve production issues, and support application deployment. Collaborate with technical and business teams throughout the SDLC, contributing to modernization, performance improvements, and automation initiatives.

Develop and maintain scalable full-stack .NET applications using C#, C++, ASP.NET, MVC, REST APIs, SQL, and JavaScript. Responsibilities include database integration, WCF services, SSRS reporting, unit testing, debugging, performance optimization, deployment, CI/CD, application support, and modernization of legacy systems. The role involves full SDLC participation, code reviews, stakeholder collaboration, and adherence to OOP, SOLID, and clean coding practices.

Develop responsive enterprise web applications using React and Angular. Build reusable components, workflow screens, dashboards, forms, and role-based interfaces; integrate REST APIs; manage state; and optimize performance, accessibility, usability, and browser compatibility. Write tests, troubleshoot issues, conduct code reviews, support CI/CD deployments, and mentor team members while collaborating with product, design, backend, QA, architecture, and business teams.

Build scalable backend services, REST APIs, data-processing and ETL/ELT workflows using C#, .NET, Python, SQL, and cloud technologies. Integrate internal and external systems, optimize relational databases, implement security and asynchronous processing, and support testing, CI/CD, deployments, troubleshooting, and production readiness. Preferred work includes messaging, serverless cloud services, document processing, OCR, AI/LLM integrations, and enterprise workflow applications.

Develop scalable, high-performance frontend applications using React, JavaScript/TypeScript, HTML5, and CSS3. Build reusable components, optimize performance, ensure cross-browser responsiveness, collaborate with designers and backend engineers, participate in architecture and code reviews, and support CI/CD practices in an agile environment focused on digital commerce solutions.

Performs end-to-end manual testing across software, firmware, hardware, and integration layers. Responsibilities include creating test scenarios and cases, executing functional and regression testing, validating APIs and databases, testing firmware upgrades, troubleshooting defects, analyzing logs, supporting release readiness, and collaborating with development and product teams.

Design, automate, and maintain highly available AWS cloud infrastructure. Build and operate containerized workloads (ECS/Fargate), manage RDS/PostgreSQL, implement IaC (Terraform/CloudFormation), CI/CD pipelines, caching, observability, incident response, troubleshooting, and collaborate with engineering teams to improve reliability and scalability.

Perform manual and automated testing for web applications across functional, regression, integration, and end-to-end scenarios. Design and execute tests using Azure Test Plans, BDD, Gherkin, and SpecFlow. Build automation frameworks with C#, Selenium, NUnit, and Page Object Model; conduct API testing with Postman or RestSharp; validate data using SQL; manage code with Git; and run tests through Azure CI/CD pipelines. Support documentation, reporting, verification, validation, and AI-assisted automation initiatives.

Build AI-powered business solutions using Microsoft Copilot, Copilot Studio, Power Apps, Power Automate, SharePoint, AI Builder, and Dataverse. Develop Copilot agents, automated workflows, prompt libraries, and reusable AI accelerators; support governance, security, responsible AI, and enterprise adoption. Evaluate emerging technologies, create prototypes, deliver training and workshops, and collaborate with business and technology stakeholders.

Leads and mentors data engineering teams while remaining hands-on in architecture, coding, and delivery. Designs scalable ingestion, transformation, ETL/ELT, data modeling, reporting, and analytics pipelines using Python, SQL, Azure Databricks, Snowflake, and PySpark. Oversees CI/CD, automated testing, code reviews, workload allocation, documentation, stakeholder communication, and technical decision-making for enterprise data initiatives.

Develop and administer Salesforce CPQ solutions, including Apex customizations, Lightning interfaces, product configuration, pricing, approvals, quote templates, data models, and integrations with ERP, CRM, and payment systems. Collaborate with business and IT stakeholders, troubleshoot CPQ issues, provide tiered production support, document technical solutions, participate in code reviews, and communicate effectively with technical and nontechnical teams.

Design, build, and maintain scalable backend services and REST APIs using Python (FastAPI/Django). Implement async features, WebSockets/SSE, ORM-based data access, and database performance tuning with PostgreSQL and SQL Server. Containerize with Docker, support CI/CD, collaborate cross-functionally, and mentor junior engineers.

Develop and maintain scalable Python/Django backend systems and APIs for enterprise and IoT applications. Work with MQTT, Kafka, Redis, Snowflake, and relational databases to handle real-time telemetry and analytics. Collaborate across teams, contribute to AI-driven automation, optimize performance, and follow CI/CD and Agile practices.

As a Senior Business Analyst, you'll gather business requirements, run workshops, analyze processes, manage risks, and ensure project quality in a manufacturing domain.

Design, develop, deploy, and scale enterprise AI and machine learning solutions, including predictive models, recommendation engines, automation, and model-serving APIs. Build data pipelines and MLOps workflows, monitor model performance and drift, troubleshoot production systems, and implement responsible AI practices. Collaborate with technical and business stakeholders, contribute to architecture and code reviews, and mentor junior engineers while applying cloud-native technologies.

Develop and enhance full-stack enterprise applications using C#/.NET, ReactJS, and SQL. Responsibilities include designing modules, building user interfaces, managing databases, writing unit tests, debugging, resolving defects, improving code quality, supporting migrations, maintaining technical documentation, and collaborating with project and technical teams. The role also involves using GitHub Copilot agentic capabilities and SpecKit to improve development productivity.

Conducts stakeholder workshops, gathers and documents business and functional requirements, analyzes current and future processes, identifies improvement opportunities, and develops process and requirements artifacts. Supports medicine demand forecasting, inventory optimization, supply planning, allocation, data requirements, KPI dashboards, UAT, defect tracking, and implementation. Bridges business, supply chain, logistics, and technology teams across Agile or Waterfall projects.

Test and validate end-to-end PIM workflows, data ingestion/enrichment, API and database integrations, and outbound catalog syndication. Create and execute test plans (functional, regression, integration, exploratory, security), manage defects, automate API and regression tests, collaborate with stakeholders, and support UAT and release validation.

Design, build, deploy, and maintain production-grade machine learning models and end-to-end pipelines. Perform feature engineering, model evaluation, optimization, REST API deployment, monitoring, and automated retraining. Collaborate with cross-functional teams to translate business requirements into scalable, reliable ML services using cloud, containerization, and CI/CD practices.