高级软件工程师,后端(批处理基础设施)
Senior Software Engineer, Backend (Batch Infrastructure)
在Affirm,我们存在的意义是为那些重要的时刻提供清晰、可预测的分期支付方式,没有隐藏费用,没有意外,也不会在最重要的事情上做出妥协。
Affirm的Batch Infra团队的愿景是为机器学习、产品和金融工程的成功提供可靠、可扩展、自助式且针对Affirm优化的计算解决方案。我们的团队负责构建和维护计算平台,作为处理Affirm各种业务关键批处理工作负载的支柱,通过一系列基于云的定时和按需计算解决方案来实现。Affirm正在迅速增长,对可靠且高可用性框架的需求也在不断增长。如果你热衷于解决大规模的基础设施挑战,欢迎加入我们!
你将负责
- 负责并完成团队的季度目标,带领团队工程师在不确定性中解决开放性问题,并确保在整个交付过程中每个人都得到支持。
- 通过与产品管理、设计与分析团队合作,在构思阶段参与、阐述技术限制,并在决策中进行协作,以充分考虑风险和权衡,从而支持你的同事和利益相关者在产品开发周期中的工作。
- 主动识别项目、流程、技术或业务问题,倡导这些问题,并领导解决它们。
- 通过创建和监控指标、在需要时进行升级,并支持“保持系统运行”和值班工作,来支持你团队成果的运维和可用性。
- 通过为团队设定或改进代码审查和设计标准,并通过写作和技术演讲在团队之外倡导这些标准,来培养质量与责任感的文化。
- 通过提供反馈和指导,以及以身作则,帮助团队成员发展人才。
我们寻找的人选:
- 具有4年以上使用Python或Kotlin等语言设计、开发和发布大规模后端系统的经验。
- 具有使用AWS、MySQL和Kubernetes等技术构建高可用分布式系统的成功经验。
- 具有构建和管理工作流编排框架(如Airflow、Flyte、Prefect、Temporal、Luigi等)的经验。
- 具有或了解在Kubernetes上高效扩展Spark/Flink等框架处理超大规模数据集的经验。
查看英文原文
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The vision for the Batch Infra team @ Affirm team is to provide reliable, scalable, self-serve and Affirm-optimized compute solution to enable ML, Product, and Financial Engineering success. Our team is responsible for building and maintaining compute platform that serves as a backbone for processing various Business critical batch workloads at Affirm through a wide suite of scheduled and on-demand compute solutions built on the cloud. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving infrastructure challenges at scale excites you, come join us!
What you’ll do
- You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
- You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
- You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
- You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
- You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
- You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For:
- You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
- You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
- Experience building and managing Workflow Orchestration frameworks like Airflow, Flyte, Prefect, Temporal, Luigi, etc.
- Experience with or working knowledge for efficiently scaling frameworks like Spark/Flink for extremely large scale datasets on Kubernetes.
- You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
- You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $153,000 - $213,000 CAD
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
- Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
- Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
- Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
- Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
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