Salary: $127,424 - 153,456 per year

• We are looking for 5-8+ years of software engineering experience delivering production systems.
• We need someone with a proven record of building dependable, scalable systems and consistently carrying work through to completion.
• Strong experience with distributed systems and full-stack development, including APIs, backend services, and user interfaces, is important.
• Experience designing and scaling applications in cloud environments, with AWS preferred, is required.
• You should be comfortable taking a hands-on approach to architecture, debugging, and critical technical decisions.
• Experience working in high-growth or scaling environments and adapting systems through change is valued.
• Solid experience with QA, release management, and progressive deployment methods such as shadow mode and canary releases is expected.
• Experience with monitoring, alerting, and observability in distributed systems is needed.
• Experience partnering with data science teams to productionize machine learning models is preferred.
• Comfort using AI-assisted or agentic development tools to improve productivity and reduce mistakes is important.
• Strong communication skills and the ability to collaborate effectively across functions are required.
• Experience in financial services, lending, or fraud detection is a plus.
• A bachelors or masters degree is preferred.

• We design, build, and maintain APIs and real-time decisioning systems, owning the reliability and production performance of the components we support.
• We contribute to front-end design and development for web-based products.
• We help improve release practices by supporting QA efforts, expanding automated testing and regression coverage, and using safer deployment approaches.
• We set a high standard for code quality and accountability, and we share technical guidance through reviews and peer collaboration.
• We implement monitoring, alerting, and observability across the stack so we can identify and address issues early.
• We help shape architecture across backend and frontend systems to support scalability, performance, and a consistent user experience.
• We work to improve API response times.
• We partner closely with Data Science to productionize machine learning models in real-time environments.
• We support the live resolution of critical production incidents.
• We follow and help strengthen engineering practices across CI/CD, incident response, and operational excellence.
• We use modern AI-assisted development tools to improve productivity, testing discipline, and engineering quality.
• We collaborate with Product and Customer teams to configure and implement new customer integrations.
• We ensure the systems we build align with security, compliance, and data governance expectations in a regulated financial environment.
• We may also apply our experience to build toward predictable, low-risk releases and cohesive end-to-end platform performance.

• AI
• API
• AWS
• Backend
• CI/CD
• Cloud
• Frontend
• Support
• Machine Learning
• Security
• Web
• Backbone
• Claude Code
• UX UI Design

More:

Point Predictive is reimagining fraud detection and risk decisioning for lenders by combining large-scale consortium data, machine learning, and real-time systems. We offer a high-impact, hands-on Senior Software Engineer role focused on production platforms that power real-time APIs, data ingestion, and decisioning across financial institutions. This is an in-person position based in San Diego, CA, and we value strong ownership, technical excellence, and cross-functional partnership. We also provide a competitive benefits package that includes health, dental, vision, life, and AD&D insurance, dependent health coverage, a flexible spending account, 401(k), paid holidays, and paid time off.

last updated 30 week of 2026