Jobs at TVS Next

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 the design and implementation of enterprise integrations, REST APIs, event-driven workflows, messaging solutions, middleware, and transformation services. Develops secure, scalable, reliable, observable integrations with ERP, logistics, supply chain, and partner systems. Establishes resilience, error handling, monitoring, deployment, and production support practices while conducting technical reviews, mentoring engineers, resolving blockers, and coordinating with QA and platform teams.

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.

The consultant will design and deploy SAP ERP solutions, collaborate with finance teams, conduct testing, handle accounting and implementation, and engage with various stakeholders.

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.

Design, build, and maintain secure enterprise ASP.NET Core applications using .NET 8, Razor Pages, MVC, Azure, Entra ID, EF Core, and SQL Server. Own web development, identity integration, data access, cloud workflows, error handling, logging, configuration, scalability, security, and performance optimization. Translate stakeholder requirements into reliable technical solutions and independently manage solution design and delivery.

Designs, develops, and optimizes Salesforce Commerce Cloud headless commerce solutions. Responsibilities include backend development for storefront, checkout, order lifecycle, promotions, catalog, pricing, custom cartridges, APIs, and third-party integrations. The role leads technical architecture, performance optimization, code reviews, CI/CD support, production troubleshooting, and collaboration with frontend, QA, product, architecture, and integration teams.

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.

Develop, validate, and deploy machine learning and AI solutions using enterprise datasets. Perform EDA, feature engineering, predictive modeling, model evaluation, data pipeline construction, and visualization. Collaborate with engineers and business stakeholders to deliver production-ready analytics and dashboards, and research emerging AI techniques.

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.

Design, develop, train, deploy, and maintain production-grade AI/ML solutions. Build predictive, classification, recommendation, and automation systems; prepare and feature-engineer data; create scalable model-serving APIs; deploy with containers and CI/CD; monitor model performance and drift; apply Responsible AI principles; collaborate with product, engineering, and stakeholders in Agile delivery.

Design, build, and maintain enterprise web applications using the Microsoft .NET stack. Develop frontends with ASP.NET (ASPX) and Angular; implement backend services in C#/.NET, Web APIs, Windows Services, and LINQ; design and optimize SQL Server/MySQL databases and RESTful APIs; perform production support, troubleshooting, deployments, and collaborate with stakeholders through SDLC/Agile processes.