Sr Software Engineer (Java, Streaming)

FICO is a leading global analytics software company, helping businesses in 100+ countries make better decisions. They are seeking a Senior Software Engineer to contribute to the technical development of an analytic decisioning platform, enhancing FICO’s streaming platform and processing high-volume, low-latency decisioning and analytics execution.

Responsibilities:

• Collaborate with product managers to understand priorities and usage scenarios of product features
• Collaborate with architects to drive the design for your software platform capability
• Collaborate within working groups of software engineers to follow software engineering standards, guidance, and processes
• Continuously improve engineering practices for the software platform to support efficiency, reliability, and serviceability goals
• Assist research, case studies and prototypes on technologies to ensure the software platform remains the leading analytic decisioning platform
• Coach other software engineers on creating their domain designs while fostering a learning culture
• Collaborate with QA engineers to design and implement functional and non-functional tests
• Participate in support activities for both cloud and on-premises implementations

Requirements:

• Detailed understanding of software architecture and design principles, with a focus on building scalable and maintainable systems
• Experience in designing, building, deploying, and operating commercial software that provides a composable platform executing in low milliseconds at 10K+ TPS
• Significant expertise in Java and Spring with hands-on experience in modern software design patterns and open-source technologies
• Experience coaching/mentoring individuals and teams
• Technical expertise across deployment models on public cloud, private cloud, and on-premises infrastructure
• Proficiency with Kubernetes and Docker for containerized application management
• Experience with database technologies such as MySQL, Oracle, or similar enterprise databases
• Skilled in Agile processes with outstanding communication abilities to articulate complex information to both technical and non-technical audiences
• Proficiency in one or more stream processing platforms such as Storm, Kafka, Flink, Spark Streaming, Kinesis, Dataflow, Pulsar, or Stream Analytics
• Experienced in domain-driven, event-driven, and microservice architecture, along with data flow concepts and hands on implementation
• Multi-cloud experience (AWS, Google, Azure) and familiarity with technologies like Cassandra, Zookeeper, Kustomize, and/or OpenSearch are preferred
• Experience in JavaScript, Angular, Python, and generative AI tools is beneficial