Jobs at Numentica LLC

Design and develop scalable web applications with a primary focus on React-based front-end development. Build reusable UI components, integrate REST APIs and backend services using Java or Scala, work with engineering, product, and data teams, and troubleshoot and optimize production systems. Participate in code reviews, automated testing, CI/CD, and continuous improvement of software engineering practices.

Designs and maintains scalable Databricks and Spark data pipelines, including ETL/ELT workflows, Delta Lake transformations, data quality checks, and performance optimization. Works with cloud platforms, data warehousing, modeling, CI/CD, monitoring, and production support. Troubleshoots large-scale data processing issues and collaborates with engineers, data scientists, analysts, and business teams. Preferred experience includes Unity Catalog, orchestration tools, streaming technologies, infrastructure automation, and Databricks certifications.

Build and maintain product testing automation using C# and Selenium. Collaborate with local and offshore engineers to coordinate test execution, contribute to mobile automation with Appium, and potentially transition frameworks to Playwright. The role requires web development fundamentals, strong problem-solving and communication skills, and the ability to coordinate across distributed teams in a hybrid or remote environment.

Build production AI-powered automation, data pipelines, analytics, alerting, and anomaly detection systems. Integrate LLM features with internal tools, develop cloud and platform services, and collaborate with stakeholders to automate manual processes. Engineers specialize initially in AI, data, or platform engineering while contributing across tracks through pairing, code review, and shared delivery. The role requires strong API and data-handling skills, production engineering experience, clear communication, and willingness to work from the Chennai office during US Eastern overlap hours.

Design, develop, and maintain scalable ETL pipelines and data infrastructure for large-scale structured and unstructured datasets. Integrate and govern data across sources, optimize pipeline performance, and deploy cloud-based solutions. Collaborate with data scientists, analysts, and engineers to deliver accessible datasets. Implement automation, testing, security, compliance, monitoring, and continuous improvements across data engineering workflows.