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Software Engineering - Lead Engineer (Java/e-Commerce)



3d ago

  • Job
    Senior & Expert Level
  • Software Engineering
  • $105K - $165K
  • Quick Apply

AI generated summary

  • You must have a Bachelor’s/Master’s in CS, experience with Java, Python, e-Commerce, Spring Boot, Kubernetes, AWS, modern tech stacks, microservices, cloud architectures, design patterns, mobile dev, databases, security practices.
  • You will design, code, test, and deploy scalable microservices, participate in reviews, interact with cross-functional teams, optimize performance, and work in a self-governing engineering team.


  • Bachelor’s/master’s in computer science or related disciplines.
  • Experience with a variety of languages/frameworks such as Java, Python, RESTful services, Spring Boot, Kubernetes, AWS.
  • Experience with e-Commerce or customer facing business where code is moved into production multiple times daily is required.
  • Strong background with modern technology stacks, microservices, cloud architectures.
  • Strong grasp of design patterns, coding best practices and be able to write unit-testable code.
  • Experience with android/mobile application development.
  • Knowledge of databases, SQL/NoSQL architectures.
  • Familiarity with encryption, Information security best practices.


  • Design, code, test, deploy, and own scalable microservices.
  • Participate heavily in design and code reviews.
  • Interact regularly with product management, InfoSec.
  • Optimize performance and scalability as necessary.
  • Be part of a lean, self-governing engineering team.


What qualifications are required for the Lead Software Engineering position at FICO?

The qualifications required for the Lead Software Engineering position at FICO include a Bachelor's or Master's degree in computer science or related disciplines, experience with Java, Python, RESTful services, Spring Boot, Kubernetes, AWS, and familiarity with encryption and information security best practices.

What responsibilities does the Lead Engineer have at FICO?

The Lead Engineer at FICO is responsible for designing, coding, testing, deploying, and owning scalable microservices, participating in design and code reviews, interacting with product management and InfoSec, optimizing performance and scalability, and being part of a lean, self-governing engineering team.

Are there opportunities for professional development at FICO?

Yes, FICO offers opportunities for professional development and growth by leveraging unique strengths, participating in valuable learning experiences, and providing a people-first work environment with work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

FICO is an analytics company helping businesses make better decisions that drive higher levels of growth and success.

Founded Year

Mission & Purpose

Headquartered in Bozeman, Montana, USA, FICO® (NYSE:FICO) is a leading analytics software company, helping businesses in over 80 countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company’s groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimize operations and meet strict government regulations. Many of our products reach industry-wide adoption — such as the FICO® Score, the standard measure of consumer credit risk in the United States. FICO solutions leverage open-source standards and cloud computing to maximize flexibility, speed deployment and reduce costs. The company also helps millions of people manage their personal credit health. Founded in 1956, FICO introduced analytic solutions such as credit scoring that have made credit more widely available, not just in the United States but around the world. We have pioneered the development and application of critical technologies behind decision management. These include predictive analytics, business rules management and optimization. We use these technologies to help businesses improve the precision, consistency and agility of their complex, high–volume decisions.