Current openings at Flex

About the role Flex is looking for a Senior Software Engineer to join our Risk Platform team. This role involves spearheading the implementation of platforms and APIs crucial for supporting business features within the risk management domain.The Risk Platform team is dedicated to mitigating both credit risk and fraud risk. Our mission is to enhance Flex app accessibility for customers while safeguarding against improper use and unauthorized access by identifying and preventing misuse across all core product areas.Following are some projects/systems in Risk Platform you will have opportunities to work with: Core decision platform which is an end-to-end solution for the enterprise decision management lifecycle, including business rule management, analytics, process management, and ML/AI. Event data stream ingestion which supports near real-time fraud rules setup.  Advanced a/b testing and experimentation capabilities for our customers so they can leverage greedy algorithms and fight fraud.  What you’ll do Build decision platform / machine learning solutions to respond to/mitigate business risks in Flex. Design and develop 24/7 high-scale APIs and distributed systems. The tech stack will be on AWS. Java would be the language for the existing code base. Java Spring Boot will be the framework.  Work closely with product, design, and engineering peers to launch new features across our web and mobile platforms  Qualifications Minimum Qualifications 6+ years of professional software development experience. 5+ years of hands-on experience with Java. 2+ years of experience with React.js or React Native. 2+ years of experience with TypeScript. Having experience building high-quality mobile and web UIs to specifications is a must to have. Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC). Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures. Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux). Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools. Preferred Qualifications Experience working in a risk engineering team and with decision platform architecture or risk/fraud detection systems. Proficient in CI/CD systems (preferably GitHub Actions), git, and automation. Skilled in observability and monitoring tools, such as DataDog, to ensure high availability. Experienced with big data platforms and tooling, including Snowflake. Proficient in Infrastructure as Code, using tools like CDK and Terraform. Skilled at elevating team standards through best practices, and mentoring junior engineers. Excellent written and verbal communicator, with experience in cross-functional collaboration. The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks. For working locations in NY/NJ/CA, the base salary pay range will be $197,000-$213,000 For all other states, the base salary pay range will be $177,000-$192,000

About the role The Risk Platform Engineering team is committed to reducing risk across Flex, our products, and for our customers, focusing on but not limited to areas like credit and fraud risk. Our mission is to enhance Flex app accessibility for customers while ensuring security by identifying and preventing misuse across all core product areas. Additionally, we play a key role in maintaining Flex’s positive lifetime value (LTV) by minimizing company losses through AI/ML solutions and effective risk policies. We are seeking a Risk Domain Leader to join our team. In this role, you will not only be hands-on with coding, driving the development of platforms and APIs essential for risk management, but also lead a skilled team of backend and full-stack developers to build and enhance a scalable, best-in-class Risk Platform that supports Flex’s current and future risk products. As an Engineering Manager in the risk domain, you will develop a comprehensive understanding of risk from company, product, and customer perspectives. You will align customer needs with our technical capabilities to deliver a strategic technical vision, influencing cross-functional partners to ensure that deliverables align with our north star goals in risk management while enhancing the quality of our platform.Additionally, you will support the professional growth of your engineers, mentor teammates in agile development practices, and work closely with partners to plan, prioritize, and deliver scalable and reliable products. You will drive DevOps best practices to ensure a robust incident response process and maintain a resilient test, build, and deployment pipeline.As a leader in the Risk Platform team, you will drive the following key projects and systems: Core Decision Platform: Manage the end-to-end platform for business rule, analytics, and ML/AI-driven decision-making. Event Data Stream: Support real-time data ingestion for rapid risk rule/policy setup. A/B Testing and Experimentation: Enable advanced experimentation tools with adaptive algorithms for risk prevention. Real-Time Fraud Monitoring: Deploy configurable systems to detect and respond to fraud in real-time. ML and AI Microservices: Integrate ML/AI models as microservices for enhanced risk detection. Qualifications Minimum Qualifications Minimum of 6 years in risk domains, with at least 3 years as a manager or tech lead. 8+ years of experience in software engineering, including 4+ years with Java. Bachelor’s degree or higher in Computer Engineering or a related field. Proficiency in Java frameworks and tools used at Flex: Spring (core/web/boot), Gradle, JUnit, and JVM optimization. Expertise in Service-Oriented Architecture, REST APIs, Message Queues, and scalable architecture. Familiarity with AWS tools (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization. Strong experience in delivering high-impact products end-to-end, with a focus on quality and timeliness. You are able to think rigorously and make hard decisions and tradeoffs Ability to make analytical, data-driven decisions and recover quickly from setbacks. Strong written and verbal communication skills, with mentoring experience across various seniority levels.   Preferred Qualifications Extensive experience in adversarial domains such as Credit Risk, Fraud, Trust, or Safety. Hands-on experience in building, designing, or managing decision platforms or rules engine architectures within the risk domain. Proven track record in developing Data and ML/AI systems tailored to risk management. Strong familiarity with big data platforms and tools like Snowflake for scalable data processing and analysis. Proficiency in observability and monitoring tools (e.g., DataDog) to maintain high system availability and reliability. The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks. For working locations in NY/NJ/CA, the base salary pay range will be $221,000-$237,000. For all other states, the base salary pay range will be $199,000-$213,000 #LI-Remote