At a Glance
- Tasks: Design and manage CIAM capabilities while developing backend services for registration and authentication.
- Company: Join Affirm, a leader in innovative financial technology with a focus on security.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on enhancing security and performance.
- Why this job: Make a real impact on customer identity solutions in a dynamic tech environment.
- Qualifications: 7+ years in backend development with expertise in Python or Kotlin.
The predicted salary is between 121500 - 148500 $ per year.
Explore a dynamic CIAM Security Engineer role at Affirm, focusing on backend identity services.
This position is perfect for candidates skilled in Python or Kotlin with significant experience.
Affirm seeks a hands-on engineer for its Information Security department to design and manage CIAM capabilities.
With at least 7 years in backend development, you will ensure customer-focused security across applications while collaborating with engineering and product teams.
Your contributions will fortify identity authentication processes.
Key
Responsibilities
- Develop backend services managing registration and authentication
- Implement identity standards like SAML, OAuth 2.0, and SCIM
- Create and manage CI/CD pipelines for robust deployments
- Monitor and enhance service performance in large environments
- Collaborate with teams to integrate user data into CIAM
Requirements
- 7+ years of experience in backend system design
- Advanced proficiency in Python or Kotlin for development
- Comprehensive knowledge of CIAM systems and protocols
- Success in building secure, high-performance applications
- Strong communication for effective teamwork
Utilize your expertise in backend systems and security to advance customer identity solutions at Affirm. #J-18808-Ljbffr
Affirm CIAM Security Engineer Opening in Regina employer: Affirm
At Affirm, we pride ourselves on being a remote-first employer that values flexibility and inclusivity, allowing our Machine Learning Engineers to thrive in a supportive environment. With comprehensive health coverage, generous time-off policies, and opportunities for professional growth, we empower our employees to take ownership of their careers while contributing to meaningful projects that redefine credit. Join us in a culture that prioritizes transparency and collaboration, where your contributions directly impact the future of financial technology.
