1 month ago

Software Engineer Risk Engineering Backend

Flex

Hybrid
Intern
$157,500
Hybrid
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Job Overview

Job TitleSoftware Engineer Risk Engineering Backend
Job TypeIntern
Offered Salary$157,500
LocationHybrid

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Job Description

Software Engineer II, Risk Engineering (Backend) at Flex

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

About The Role

Flex is looking for a Software Engineer II to join our Risk Engineering team. This role involves spearheading the implementation of platforms and APIs crucial for supporting business features within the risk management domain.

The Risk Engineering team is dedicated to mitigating both credit risk and fraud risk. Our mission is to enhance Flex app accessibility for customers while safeguarding against improper use and unauthorized access by identifying and preventing misuse across all core product areas.

Following are some projects/systems in Risk Engineering you will have opportunities to work with:

  • Core decision platform which is an end-to-end solution for the enterprise decision management lifecycle, including business rule management, analytics, process management, and ML/AI.
  • Event data stream ingestion which supports near real-time fraud rules setup.
  • Advanced a/b testing and experimentation capabilities for our customers so they can leverage greedy algorithms and fight fraud.

What You’ll Do

  • Build decision platform / machine learning solutions to respond to/mitigate business risks in Flex.
  • Design and develop 24/7 high-scale APIs and distributed systems.
  • The tech stack will be on AWS. Java would be the language for the existing code base. Java Spring Boot will be the framework.
  • Work closely with product, design, and engineering peers to launch new features across our web and mobile platforms.

Qualifications

Minimum Qualifications
  • 4+ years of professional software development experience.
  • 3+ years of hands-on experience with Java.
  • 1+ years of experience with React.js or React Native.
  • 1+ years of experience with TypeScript.
  • Having experience building high-quality mobile and web UIs to specifications is a must to have.
  • Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
  • Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
  • Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
  • Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.
Preferred Qualifications
  • Experience working in a risk engineering team and with decision platform architecture or risk/fraud detection systems.
  • Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
  • Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
  • Experienced with big data platforms and tooling, including Snowflake.
  • Proficient in Infrastructure as Code, using tools like CDK and Terraform.
  • Skilled at elevating team standards through best practices, and mentoring junior engineers.
  • Excellent written and verbal communicator, with experience in cross-functional collaboration.

Compensation & Benefits

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.

Tier A (NYC/SF): $140,000—$175,000 USD Tier B: $126,000—$157,500 USD Tier C: $119,000—$148,750 USD

Life at Flex:

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

We offer many employee benefits & perks. For full-time U.S based positions we offer:

  • Competitive medical, dental, and vision available from Day 1
  • Company equity
  • 401(k) plan with company match (our company match kicks off at the beginning of 2026)
  • Unlimited paid time off + 13 company paid holidays
  • Parental leave
  • Flex Cares Program
  • Free Flex subscription

For full time non-US employees, we offer

  • Competitive compensation + company equity
  • Unlimited PTO

Key skills/competency

  • Software Engineering
  • Risk Engineering
  • Backend Development
  • Java
  • AWS
  • API Design
  • Distributed Systems
  • FinTech
  • Machine Learning
  • Java Spring Boot

Tags:

Software Engineer
Risk Engineering
Backend Development
Java
AWS
Spring Boot
API Development
Distributed Systems
FinTech
Machine Learning

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How to Get Hired at Flex

  • Tailor your resume: Highlight Java, Spring Boot, AWS, and risk engineering experience.
  • Showcase UI skills: Emphasize React.js/React Native and TypeScript experience.
  • Quantify achievements: Use numbers to demonstrate impact in previous roles.
  • Prepare for technical interviews: Review data structures, algorithms, and distributed systems concepts.
  • Understand the domain: Research FinTech and risk/fraud detection systems.

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