At a Glance
- Tasks: Lead software engineering efforts to optimize capacity and manage traffic efficiently.
- Company: Join Affirm, a leader in innovative financial technology solutions.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment focused on operational excellence and team growth.
- Why this job: Make a real impact by driving technical strategies and enhancing team performance.
- Qualifications: 8+ years in backend development with expertise in Python or Kotlin.
The predicted salary is between 118800 - 145200 $ per year.
Become part of Affirm's innovative approach as a Staff Software Engineer in Capacity Modeling, focused on translating business demand into technical capacity solutions.
This remote role highlights your leadership in software engineering and operations.
Your main focus will be establishing a long-term technical strategy for ensuring Affirm can manage traffic efficiently.
Work alongside product and analytics teams for risk assessment and prioritization of engineering initiatives.
Your leadership in defining operational processes will enhance team performance and quality standards.
Key
Responsibilities
- Establish technical directions tied to business needs
- Collaborate with product management and design teams
- Monitor team operations and maintain system health
- Set and promote coding standards within your team
- Lead and support the growth of engineering talent
Requirements
- Minimum 8 years’ experience in backend software development
- Proficient in Python or Kotlin for large-scale systems
- Experience with AWS, My SQL, and Kubernetes
- Familiarity with scaling during large sales events
- Strong communication for effective teamwork
Drive impactful solutions and operational excellence as a Staff Software Engineer at Affirm. #J-18808-Ljbffr
Remote Staff Engineer: Capacity Modeling Expertise in Hamilton 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.
