Poland onlyAffirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
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 a 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
- Shape the technical direction, strategy, and roadmap of compute Orchestration platform which comprises Batch and Streaming Infra.
- Design and build infrastructure systems, services, and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.
- Build frameworks and services which will be used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences.
- Improve the reliability and efficiency of the Batch Infrastructure at scale and high reliability.
- Engage other teams at Affirm about their use of the Batch and Streaming Infrastructure to ensure we are always building the right thing.
- Take an active role in mentoring junior engineers, and the processes that support team growth and efficiency
What we look for
- Strong sense of ownership with a proven track record of successfully driving large cross-functional technical programs.
- Experience building and owning large-scale, geographically distributed compute, and data processing systems.
- Experience building and owning large-scale stream processing systems.
- Experience with Spark, Airflow, Kubernetes, Flink, Beam and other open-source technologies.
- Experience with or working knowledge for efficiently scaling Kubernetes for Spark and other types of batch workloads.
- Skilled at developing and debugging in Python/Kotlin or the ability to learn them quickly (Python/Kotlin).
- Working knowledge of Relational and NoSQL databases.
- Experience with AWS and/or other cloud providers.
- Technical leadership; capable of handling mentorship, cross functional project execution, and solid individual contribution.
- Demonstrated ability to deliver on complex technical projects by collaborating closely with stakeholders.
- Eager to learn new things and have a growth mindset.
- Well-developed interpersonal, written and verbal communication.
- Experience working in the data infrastructure domain.
- BS, MS or PhD in Computer Science, Engineering or a related technical field.
Pay Grade - POL31
Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.
POL base pay range per year:
Min: 309,500 PLN
Mid: 386,800 PLN
Max: 464,200 PLN
Compensation and Benefits
We offer a competitive package, with some highlights listed below. However, the given figures are not guaranteed compensation ranges; rather, they are unbinding, approximate indications of what the salary may be for your awareness. The actual salary may be less than the lower range or greater than the upper range, depending on skills and experience. No employee is guaranteed salary at the amount of the lower range.
- Flexible Spending Wallets for tech, food and lifestyle
- Generous time off policies
- Away Days - wellness days to take off work and recharge
- Learning Development programs
- Parental leave
- Robust health benefits
- Employee Resource Community Groups
- This role is eligible for creative tax benefits, subject to applicable law and company policy
Location - Remote Poland- The majority of our roles can be located anywhere in Poland
This job description is not a contractual document, and is not intended to have binding force
This role has a potential sign-on bonus of up to 10% of your base salary. Eligibility is determined at the offer stage.
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy for applicants within the United States, the EU Employee Notice Regarding Use of Personal Data (Poland) for applicants applying from Poland, the EU Employee Notice Regarding Use of Personal Data (Spain) for applicants applying from Spain, or the Affirm U.K. Limited Employee Notice Regarding Use of Personal Data for applicants applying from the United Kingdom, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
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