Senior Software Engineer - CRISIL
You will build distributed backend services with Java (Spring/Spring Boot), Python, Kafka/MQ, XML, and CI/CD pipelines on Unix/Linux. The team develops risk data processing, analytics, and reporting platforms for global markets products such as Rates, Credit, Equities, and Derivatives.
Free Tailor for ATS: 10/10 runs left
Role Summary
We are seeking an experienced Senior Software Engineer to join the Risk Services team within Global Markets. This role focuses on designing and building scalable, distributed systems that support risk data processing, analytics, and reporting workflows. You will develop enterprise-grade backend services that handle mission-critical risk data and contribute to robust financial platforms.
Key Responsibilities
Design, develop, and enhance backend services and distributed systems supporting risk data and analytics platforms
Build and maintain scalable applications using Java (Spring / Spring Boot) and Python
Develop solutions for risk data ingestion, transformation, and processing pipelines
Contribute to system architecture, design reviews, and performance optimization
Work with large datasets to support risk calculations, reporting, and downstream analytics
Collaborate with risk, front-office, and data teams to translate requirements into robust technical solutions
Participate in code reviews, testing, and release processes ensuring high-quality delivery
Troubleshoot and resolve issues in production systems, focusing on stability and performance
Required Qualifications
Strong experience in Java (Spring / Spring Boot) and Python development
Proven experience building distributed systems and microservices architectures
Strong understanding of data structures, algorithms, and system design principles
Hands-on experience working with large-scale data processing systems
Experience with messaging frameworks (e.g., Kafka, MQ)
Strong working knowledge of Unix/Linux environments
Experience with XML and enterprise data integration patterns
Experience with modern development practices, including CI/CD pipelines, build and deployment processes, and unit and integration testing
Preferred Qualifications
Understanding of Global Markets products, including Rates, Credit, Equities, and Derivatives
Exposure to risk data flows and analytics pipelines within capital markets
Familiarity with risk reporting systems, trade lifecycle, and PnL workflows
Experience working in enterprise financial platforms or similar large-scale environments
Exposure to high-performance or low-latency systems
Experience with data streaming and real-time processing frameworks
Familiarity with cloud or containerization technologies (Docker, Kubernetes)
Prior experience in global banking or financial services environments
Experience
Approximately 9–15 years of software development experience, with flexibility for exceptionally strong candidates.