Description

Job Summary: Client is seeking a Senior Software Engineer to join the Risk Team, focusing on building scalable, secure, and resilient systems that support fraud detection, risk scoring, and compliance automation.

Key Responsibilities

• Architect and develop backend services and APIs to support risk operations including fraud detection, transaction monitoring, and compliance workflows.
• Collaborate with cross-functional teams including InfoSec, Data Science, and Compliance to ensure seamless integration and performance of risk tools.
• Lead technical initiatives to improve SLA adherence, incident management, and root cause analysis systems.
• Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.
• Integrate test suites into CI/CD pipelines.
• Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end-to-end testing, accessibility, database validations and automation.
• Implement observability and monitoring solutions to ensure system reliability and performance.
• Mentor junior engineers and contribute to engineering best practices across the risk domain.
• Partner with business stakeholders to translate risk and compliance requirements into scalable technical solutions.
• Operate in an AI driven SDLC environment Write, test and produce production grade code in financial services without relying on testing by other groups.
• Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.
• Leads and builds test automation frameworks using Standard API testing tools for rest-based APIs hosted on Azure cloud.
• Integrate test suites into CI/CD pipelines Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end-to-end testing, accessibility, database validations and automation.

Required Qualifications

• 5+ years of software engineering experience, with 2+ years in technical leadership role with focus on . Net and C#.
• Proficiency in Azure Cloud native technologies and experience with Azure migration.
• Strong understanding of Queuing mechanism, multithreading/Multi-Tasking, Distributed computing.
• Familiarity with AI code assistants like GitHub Copilot or similar tools.
• Experience in automated testing, Unit Testing, TDD, and CI/CD pipelines.
• Strong proficiency in RESTful API design, OAuth2, and microservices architecture.
• Experience in various 3rd party integrations.
• Familiarity with risk scoring models, fraud detection systems, and compliance automation tools.
• Strong grasp of security and privacy standards relevant to financial data handling.
• Strong proficiency in SQL Server and database design.
• Ability to work in a fast-paced, agile environment with AI-enhanced workflows.
• Methodologies- Agile, Scrum.

Preferred Qualifications

• Experience in fintech or risk management technology platforms.
• Familiarity with operational domains such as fraud case management, transaction scoring, and regulatory reporting.
• Contributions to open-source projects or technical publications.
• Ability to work in the U.S. without sponsorship.
• Ability to meet the location requirement outlined above

Key Skills

Education

Any Graduate