At a Glance
- Tasks: Build and scale Cache Services using Redis and Valkey while optimizing infrastructure.
- Company: Join Affirm, a leader in online storage solutions with a remote-first culture.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and automation.
- Why this job: Make a real impact on online checkout systems and enhance data platforms.
- Qualifications: 2+ years of software engineering experience and proficiency in Python or Kotlin.
The predicted salary is between 135000 - 165000 $ per year.
Shape the future of online storage with Affirm as a Backend Software Engineer.
This remote role focuses on building and scaling Cache Services using Redis and Valkey while optimizing infrastructure.
Join the Data and Storage Services team at Affirm, where your expertise in building reliable backend systems will enhance our online checkout databases and data platforms.
The role emphasizes automating cache requests, managing production operations, and collaborating closely with client teams on strategies.
You will gain deep expertise in critical technologies necessary for data access and storage.
Key
Responsibilities
- Scale Cache Services on Redis and Valkey successfully
- Plan capacity and manage cluster migrations
- Automate self-service workflows for cache requests
- Define SLOs and monitor production fleet performance
- Collaborate with teams to enhance caching strategies
Requirements
- 2+ years of experience as a software engineer
- Proficiency in Python or Kotlin
- Familiar with distributed systems and AWS technologies
- Direct experience with Redis or Valkey
- Automation experience using Terraform and Kubernetes
Unlock substantial value at Affirm through your backend development skills and expertise in cache services. #J-18808-Ljbffr
Backend Software Engineer in Windsor 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.
