Shift – Flexible between 11am-10pm
Mandatory – Dataiku Platform experience
Job Description – Engineering Lead Developer / Sr. Developer (Offshore)
Location : Bengaluru 10 days onsite
Contract 2 hire
Role: Engineering Lead Developer / Sr Developer – Azure/.NET & Dataiku
Role Overview
Engineering Lead Developer / Sr Developer to build and support a cloud-native Derivatives Analytics and Curve Validation platform using Dataiku, Microsoft Azure, and .NET technologies.
Lead offshore engineering activities, designing scalable services, developing integrations, and enabling analytical workflows for derivative valuation and financial risk processing.
Key Responsibilities
- Design and develop scalable applications using .NET Core and Azure services.
- Build APIs, backend services, and integration components for derivatives analytics workflows.
- Integrate Dataiku pipelines and analytical models with enterprise applications.
- Develop and maintain cloud-native microservices and event-driven components.
- Work closely with technical architects and business teams to implement valuation and curve validation requirements.
- Perform code reviews, enforce engineering standards, and mentor development teams.
- Support DevOps implementation including CI/CD, deployment automation, and monitoring.
- Optimize application performance, reliability, and security.
- Collaborate with QA and support teams for defect resolution and production stability.
- Participate in Agile ceremonies and technical design discussions.
Required Skills & Experience
- 6–10 years of software engineering experience.
- Strong hands-on expertise in C#, ASP.NET Core, and REST API development.
- Experience with Azure cloud services such as:
- Azure App Services
- Azure Functions
- Azure Storage
- Azure Service Bus
- Azure SQL
- Azure DevOps
- Experience integrating with Dataiku platforms or analytics ecosystems.
- Strong SQL and data integration experience.
- Experience with microservices architecture and containerized deployments.
- Familiarity with Git, CI/CD pipelines, and automated deployments.
- Strong debugging and performance optimization skills.
Preferred Skills
- Python exposure for analytics integration.
- Experience in financial services or treasury/risk platforms.
- Understanding of derivatives, market data, yield curves, or valuation concepts.
- Exposure to Docker/Kubernetes.
- Experience working in global delivery models.
Soft Skills
- Strong ownership mindset and delivery focus.
- Excellent communication and coordination skills.
Ability to work independently in a fast-paced Agile environment
