Bangalore, Karnataka, India
Information Technology
Full-Time
Outseer
Overview
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.
What You’ll Achieve
We are seeking a talented Senior Software Engineer with strong experience in Spring Boot and a solid background in working with both relational and non-relational databases. The ideal candidate will have hands-on experience building and deploying microservices, working with event queues, and a solid understanding of DevOps practices and cloud engineering/deployment.
As part of our team, you’ll design, develop, and deploy scalable software solutions, collaborate with cross-functional teams, and contribute to the continued evolution of our product architecture. Familiarity with older Java stacks (application servers, etc.) is a plus, as well as experience in data engineering, analytics, and machine learning engineering
Essential Duties
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.
What You’ll Achieve
We are seeking a talented Senior Software Engineer with strong experience in Spring Boot and a solid background in working with both relational and non-relational databases. The ideal candidate will have hands-on experience building and deploying microservices, working with event queues, and a solid understanding of DevOps practices and cloud engineering/deployment.
As part of our team, you’ll design, develop, and deploy scalable software solutions, collaborate with cross-functional teams, and contribute to the continued evolution of our product architecture. Familiarity with older Java stacks (application servers, etc.) is a plus, as well as experience in data engineering, analytics, and machine learning engineering
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.
- 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.
- 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.
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