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Coforge
Coforge
5 open remote positions
Coforge is a global IT services company delivering digital transformation and technology solutions. With a diverse global team, they hire professionals based solely on skills and foster an inclusive, non-discriminatory culture.
Open Positions
Define and implement end-to-end test strategies for Databricks pipelines, dbt models, Delta tables, APIs, and downstream analytical products. Build maintainable automation frameworks using Python, PyTest, SQL, and dbt tests to validate Bronze-to-Silver-to-Gold transformations. Embed automated quality gates into CI/CD pipelines and promote shift-left testing and data-quality best practices.
Databricks
Dbt
Python
SQL
Develop, customize, and maintain Salesforce applications using Apex, Visualforce, and Lightning components. Collaborate with business analysts and stakeholders to translate requirements into technical specifications. Implement integrations, perform testing, and provide technical support for Salesforce-related issues.
Salesforce
Apex
Develop and scale high-performance, cloud-native web applications across frontend, backend, and infrastructure. Transform prototypes and automation tools into production-ready features while optimizing backend worker queues and cloud infrastructure. Leverage AI-assisted development tools to improve code quality, conduct reviews, and build dashboards for automation pipelines.
Ruby On Rails
React
JavaScript
SQL
Cloud Computing
Plan, design, and execute manual and automated testing for investor funding, payment processing, and system integrations. Build and maintain automated test suites using Python, Playwright, and SQL for data validation and API testing. Collaborate with Agile teams and leverage AI-powered tools to accelerate test development and quality engineering.
Python
Playwright
SQL
REST APIs
Test Automation
Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments. Architect end-to-end ML solutions from data ingestion to deployment and monitoring, managing containerized workloads with Docker and Kubernetes. Oversee large-scale data pipelines, drive model improvement, and provide technical leadership across ML initiatives.
Machine Learning
Python
PySpark
Databricks
Kubernetes