Where AI Engineering Meets Industry Expertise
Noida, Uttar Pradesh
Where AI engineering meets industry expertise. Coforge is an AI-native engineering services leader, where AI is the very foundation of how we design, build, and deliver intelligent solutions for our clients. We use AI and hyperspecialized industry expertise to engineer autonomous enterprises. We combine AI agents with our AI-enabled workforce, including specialized FDEs in hybrid pod-based delivery units. With a deep focus on trusted AI, our solutions are secure, governed, and enterprise-grade. We are outcome-led by design. Moving beyond AI experimentation, we deliver measurable business outcomes – lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth. With an execution intensity that’s uniquely our own, Coforge has emerged as the 7th largest Indian IT services firm, with a revenue growth rate nearly 8x the industry average. “We are somewhat atypical in our approach to solving business problems. We are specialists, not just engineers and technologists, who spend an inordinate amount of time understanding the targeted functional spaces that we focus on.” — Sudhir Singh, CEO Coforge is a certified Great Place to Work® (5 years in a row), recognized for excellence in Employee Engagement, Learning & Development, and Corporate Social Responsibility. Our Greater Noida HQ runs entirely on 100% green energy. Through initiatives like The Coforge Public Library, we provide free, inclusive access to knowledge in Noida, Hyderabad, and Gurugram—and intend to expand this network across India. Coforge has been recognized by leading analysts and advisory firms, including Gartner, Forrester, ISG, Everest Group, HFS Research, and others.
On-site · Calgary
Act as the bridge between business stakeholders and technical teams to drive AEM-based digital experience initiatives. Responsibilities include translating business requirements into user stories, managing Agile backlogs, and coordinating UAT and production readiness.
Hybrid · Mississauga
Design and manage scalable AWS serverless infrastructure using Terraform for provisioning and GitHub Actions for CI/CD automation. Monitor system performance and implement security best practices to ensure high availability and reliability.
Hybrid · Markham
Architect and implement advanced data solutions using Snowflake on AWS, focusing on large-scale data transformation programs. Design and orchestrate data acquisition pipelines and manage complex transformations using DBT and Apache Airflow.
Hybrid · Markham
The role involves testing Guidewire PolicyCenter and Rating systems. It also includes testing integrations within the Guidewire ecosystem.
Hybrid · Markham
Lead the design, development, and management of Guidewire Integration Gateway to enable secure and scalable event-driven integrations. Extend and integrate the Insurance Suite in the cloud using Guidewire Cloud APIs and messaging engines.
On-site · Calgary
The Business Analyst will lead requirement gathering, create functional documentation, and manage the product lifecycle within an Agile framework. They will also act as a bridge between technical teams and stakeholders while conducting product demonstrations and managing releases.
On-site · Calgary
The AEM Architect will define the end-to-end AEMaaCS migration strategy and lead migration readiness assessments across various domains. They will also provide architectural guidance and ensure alignment with Adobe best practices.
Hybrid · Markham
The Sr. Guidewire Lead Developer will be responsible for leading the development and integration of Guidewire solutions, focusing on commercial insurance expertise. This includes architecting integration solutions and modernizing submission intake processes.
Remote · Canada
The Senior Data Scientist will support the AI CoE’s Machine Learning and Data Science initiatives by delivering end-to-end data science solutions. This includes data exploration, preparation, model development, validation, and communication of insights.
Remote · Canada
The role focuses on delivering end-to-end machine learning solutions, including data preparation, feature engineering, model development, deployment, monitoring, and ongoing production support. The candidate will be responsible for taking models from prototype to production and integrating machine learning solutions into enterprise applications.
Remote · ["Toronto, Ontario, Canada"]
About Role: Position Title: Senior Integration Engineer – Interac e-Transfer Modernization Location: Toronto, Canada Workplace Type: Remote Position Type: FTE Project Summary / Objective We are upgrading our Interac e-Transfer Send and Receive capabilities to API version 3.7 to modernize its payments platform and align with evolving Interac standards. The primary objective is to ensure the platform is ready to support Canada’s Real-Time Rail (RTR) ecosystem and enable faster, real-time payment experiences for members. Key Responsibilities Report directly to the Integration Tech Lead and wo…
