Rsa Senior Software Engineer I AI/ML 

India, Karnataka 

365687816

Product Overview

Outseer Fraud Manager is an advanced, omnichannel fraud detection hub that provides risk-based, multi-factor authentication for organizations seeking to protect their consumers from fraud across digital channels. Powered by the AI/ML based Risk Engine, Outseer Fraud Manager is designed to measure the risk associated with a user’s login and post-login activities by evaluating a variety of risk indicators. Using powerful machine learning and fine-grained policy controls, this anti-fraud hub only requires additional assurance, such as out-of-band authentication and transaction signing, for scenarios that are elevated risk and/or violate rules established by an organization. This methodology provides transparent authentication for most of the users, ensuring a frictionless end user experience and high fraud detection rates.

Essential Duties

• Design, develop, and deploy microservices-based applications using Spring Boot.
• Work with relational and non-relational databases to ensure efficient data management.
• Implement event-driven architectures and integrate with event queues.
• Collaborate with DevOps teams to deploy applications to cloud environments (AWS, Azure, etc.).
• Optimize and troubleshoot application performance and scalability.
• Contribute to the development and maintenance of analytics and data pipelines.
• Leverage older Java technologies (application servers, etc.) where necessary.
• Work with Python or JavaScript on certain projects as required.

Desired Requirements / Hands-on Experience

• BE/BTech/MCA/Equivalent degree in Computer Science or a related technical field from an accredited university or college with 4 + years of relevant experience
• Strong experience with Spring Boot and microservices architecture.
• Familiarity with relational (e.g., MySQL, PostgreSQL) and non-relational (e.g., MongoDB, Cassandra) databases.
• Experience working with event queues (e.g., Kafka, RabbitMQ).
• Experience with DevOps practices and deployment pipelines (CI/CD).
• Exposure to cloud platforms (AWS, Azure, GCP).
• Knowledge of older Java stacks (application servers like Tomcat, JBoss) is a bonus.
• Experience in data engineering, analytics, or machine learning is a plus.
• Experience with Python or JavaScript is a bonus.

Desired Behavior

• Adaptability: Demonstrates flexibility and openness to change. Actively seeks and adopts improved approaches and processes.
• Proactive Action: Takes initiative and is driven by results. Takes ownership of actions and outcomes, meeting commitments and striving for high performance.
• Effective Workload Management: Makes timely decisions, prioritizes tasks effectively, solves problems, monitors results, and takes corrective action when necessary.
• Technical Proficiency : Possesses a solid understanding of their role and responsibilities, demonstrating competence in performing tasks and utilizing relevant technical skills.
• Continuous Learning : Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement, actively seeks feedback, and embraces opportunities to learn.
• Effective Communication : Demonstrates strong facilitation and written communication skills. Clearly articulates ideas and proposals, actively listens to colleagues' perspectives, and values diverse viewpoints.
• Collaboration: Shares information, fosters teamwork, and contributes to a positive work environment. Actively collaborates with others and encourages a sense of unity and cooperation among team members.
• Ethical Conduct and Competence : Acts with integrity and intent, displaying ethical character in all actions. Takes accountability for one's own behavior and aligns actions with the company's values and principles.
• Good Citizenship : Represents the values and interests of Outseer. Acts as a positive ambassador for the company and contributes to the overall well-being and success of the organization.