Staff Software Engineer, Backend (Streaming)

Affirm; Poland; Remote; PLN 728,000 - 1,002,000; Full time

Job summary

A leading financial technology company seeks a Staff Software Engineer to join their Streaming team. You will design and build robust data infrastructure systems for various business requirements, leveraging technologies like Apache Kafka and Spark. Candidates should have over 8 years of experience in building large-scale systems and a Bachelor's degree in a related field. This role offers competitive compensation and flexible remote work options.

Benefits

Health care coverage

Flexible Spending Wallets

Employee stock purchase plan

Qualifications

• 8+ years of industry experience in building large scale production systems.
• Strong hands-on experience with Apache Kafka or similar streaming solutions.
• Experience building and operating robust and highly available infrastructure.

Responsibilities

• Design and build data infrastructure systems for new Affirm products.
• Build high-throughput, low-latency data pipelines.
• Collaborate with teams to deliver streaming solutions.

Skills

Apache Kafka

Stream processing frameworks (Spark, Flink)

Fault-tolerant data architecture

Programming (Python, Java, Kotlin)

Collaboration and mentoring

Education

Bachelor’s degree in a related field

Tools

Snowflake

Databricks

Kafka Connect

Job description

Staff Software Engineer, Backend (Streaming)

Remote US

Affirm 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 Streaming team at Affirm forms the backbone of several online and offline workloads at Affirm and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage existing open source technologies like Kafka, Flink, Spark and also build our own as needed to design and build real-time data processing pipelines that handle massive volumes of data across our distributed systems.

As a member of our team you would spend time identifying and executing on new use cases of streaming data infrastructure and frameworks, designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company. This role requires deep expertise in stream processing technologies and a passion for building scalable, fault-tolerant data infrastructure.

Key Responsibilities

• Design and build data infrastructure systems, services and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.
• Build and optimize high-throughput, low-latency data pipelines for critical business applications.
• 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.
• Help support the Streaming team that forms the backbone for several online and offline workloads at Affirm.
• Improve the reliability and efficiency of the Data Platform at scale and high availability.
• Collaborate with other teams at Affirm, including ML and Analytics, to deliver streaming solutions based on various use-cases and best practices.
• Monitor, troubleshoot, and maintain production streaming systems, ensuring high availability and reliability of data systems.

What We Look For / Qualifications

• 8+ years of industry experience in building large scale production systems.
• Strong hands on experience with Apache Kafka or similar streaming solutions for large-scale event streaming and message queueing.
• Experience building and operating robust and highly available infrastructure.
• Experience working with data platforms like Snowflake, Glue or Databricks is a plus.
• Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus.
• Expertise with at least one stream processing framework like Spark, Samza, Flink, Beam etc.
• Hands-on experience with Kafka Connect and Kafka Schema Registry components, understanding their underlying functionality and implementation.
• Solid programming skills in Python, Java or Kotlin.
• Experience with Apache Iceberg table format, CDC (Change Data Capture) tools is a strong plus.
• Knowledge of Relational and NoSQL databases is a plus.
• Experience leading technical projects and mentoring junior engineers.
• Exceptionally collaborative with a history of delivering complex technical projects and working closely with stakeholders.
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Base Pay and Benefits

• Base Pay Grade - P
• Equity Grade - 13
• Base pay is $200,000 - $275,000 per year depending on location and experience; varies by state.
• Affirm offers equity rewards, health, wellness and tech spending stipends, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents).
• USA base pay ranges: California, Washington, New York, New Jersey, Connecticut: $225,000 - $275,000 per year; other U.S. states: $200,000 - $250,000 per year.

Affirm is a remote-first company. Most roles are remote, with occasional options to work from an Affirm office depending on role requirements.

Benefits Highlights

• Health care coverage – Affirm covers all premiums for you and your dependents.
• Flexible Spending Wallets – stipends for technology, food, lifestyle needs, and family forming expenses.
• Time off – vacation and holiday schedules to rest and recharge.
• ESPP – employee stock purchase plan at a discount.

Affirm is committed to an inclusive interview experience and provides reasonable accommodations upon request during the hiring process. We encourage applicants of all backgrounds to apply.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the collection, processing, use, and storage of your personal information as described therein.

We are an equal opportunity employer. Affirm is dedicated to building a diverse team and inclusive culture.