We cannot work with 3rd parties

We are looking for a Java Tech Lead Engineer to join our client’s team in a full-time position in NewYork, NY. Our client is an established online national financial services company with a great reputation for a place to work and comprehensive benefits. They have an emphasis on scalability, security, reliability, and accuracy.

As a Technical Lead at on the Decisioning Systems Team, you will:

• Think critically and interact with product managers and other engineers to design and build features for the US business.
• Work closely with technical systems that powers our automated credit decisioning process.
• Closely collaborate with technology and product leadership, QA, DevOps, and other teams to orchestrate medium to large scale development efforts.
• Remain hands-on, contributing to multiple codebases, while also guiding the team.
• Participate in improving our build, testing and release processes in technology.
• Coach and mentor the development team in all aspects of the agile development cycle.
• Promote culture of learning, collaboration, and continuous improvement.

Required Qualifications:

• 4-year BS degree in Computer Science or related field.
• 10+ years of coding experience.
• 2-3 years of people management experience.
• Experience leading a team, building full-stack web solutions and designing flexible services and APIs.
• Experience with Jersey, Spring, and Java testing frameworks.
• Experience creating and consuming REST and SOAP web services.
• Good understanding of event-driven, functional, and object-oriented paradigm.
• Familiarity with relational database design and high-level framework for database integration.
• Ability to create and communicate the technical design to solve business challenges.
• Passionate about technology and willing to learn something new.
• Ability to independently work on a project.
• Strong verbal and written communication skills.

Preferred Qualifications:

• Knowledge of AngularJS, Node.js and front-end testing frameworks
• The familiarity of credit model building using R and Python.