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Open nowPosted 8 hours ago

Senior Software Engineer, Core Pricing

Jobgether4,044 open roles

Where
US
Work mode
Remote
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Your applicationOpen nowSenior Software Engineer, Core PricingJobgether · US

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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.8%30 days
This job: posted 8 hours ago

Jobgether median: 6 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Core Pricing based in the United States.

Join a high-impact engineering team building the core pricing infrastructure that powers critical lending decisions across multiple financial products. In this role, you will design and scale real-time systems that translate sophisticated risk models and business requirements into accurate, reliable pricing decisions. You will take ownership of complex technical initiatives, from architecture and design through production deployment, while improving system performance, resilience, and maintainability. Working closely with engineering, data science, product, and business teams, you will help shape solutions that influence revenue, profitability, and customer outcomes. This opportunity combines challenging distributed systems engineering with meaningful applications in financial technology and AI-driven decision-making. Enjoy a remote-first work environment, collaborate with talented professionals across disciplines, and contribute to technology that helps expand access to affordable credit.

Accountabilities

  • Design, develop, and evolve high-performance, real-time pricing systems that support critical lending decisions across multiple products.
  • Lead complex engineering projects from technical design through implementation and production deployment, ensuring scalability, reliability, correctness, and efficient iteration.
  • Collaborate with data scientists, product managers, and business stakeholders to translate sophisticated models, pricing strategies, and business requirements into robust software solutions.
  • Identify and implement architectural improvements that enhance the flexibility, maintainability, observability, and resilience of pricing services.
  • Establish and promote engineering best practices for system design, testing, monitoring, deployment, and operational excellence.
  • Contribute to technical decision-making, conduct design reviews, and provide mentorship and guidance to fellow engineers.
  • Help evolve distributed systems and cloud-based infrastructure to support business-critical pricing capabilities and long-term product growth.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent qualifications, combined with at least four years of professional software engineering experience.
  • Strong production programming experience in Python, along with experience using Java, Kotlin, or another strongly typed programming language.
  • Demonstrated experience designing, developing, and operating scalable APIs, distributed systems, or microservices in a cloud environment such as AWS or Google Cloud Platform.
  • Proven ability to own complex software projects end to end, including technical architecture, implementation, testing, deployment, and ongoing production support.
  • Experience building and maintaining production systems with demanding requirements for scalability, low latency, reliability, and data correctness.
  • Strong problem-solving, system design, and analytical skills, with the ability to make sound technical decisions in complex engineering environments.
  • Excellent communication and collaboration skills, including the ability to work effectively with technical and non-technical stakeholders.
  • Familiarity with fintech, financial systems, financial mathematics, statistics, machine learning platforms, or automated decision-making systems is an advantage.
  • Experience developing business-critical systems that influence revenue, profitability, risk management, or core product performance is preferred.
  • Knowledge of cloud-native architecture, distributed computing, platform engineering, continuous integration and deployment, or infrastructure as code is a plus.
  • Experience collaborating with data science and product teams to productionize machine learning models, decisioning logic, or experimentation capabilities is desirable.
  • Ability to work remotely while collaborating with teams operating across U.S. East Coast and West Coast time zones. Occasional in-person team gatherings are expected, typically once or twice per quarter for two to four consecutive days, depending on the team.
  • Competitive compensation: Anticipated annual base salary of $166,900–$230,900 USD for U.S.-based remote employees. Actual compensation depends on geographic location, relevant experience, skills, education, and other job-related factors.
  • Performance and equity incentives: Target bonus opportunities and annual equity grants, with equity vesting quarterly.
  • Retirement savings: A 401(k) plan with a company match of $2 for every $1 contributed, up to $15,000 annually.
  • Employee Stock Purchase Plan: Access to discounted stock purchase options for eligible U.S. employees.
  • Comprehensive healthcare: Medical, dental, and vision coverage, along with wellness resources.
  • Health Savings Account: Employer contributions for employees enrolled in eligible plans.
  • Financial protection: Life insurance and disability coverage.
  • Paid time off: Paid vacation, sick leave, and company holidays in accordance with applicable local requirements.
  • Family support: Paid parental and family leave, along with benefits supporting fertility, parenthood, and caregiving.
  • Mental health and well-being: Access to an Employee Assistance Program, wellness resources, and an annual wellness allowance to support personal development and physical and emotional health.
  • Financial wellness resources: Access to financial planning tools and a financial concierge service.
  • Remote-work support: An annual productivity allowance to invest in tools and resources that help you work effectively from anywhere in the United States.
  • Flexible, digital-first environment: Work remotely while benefiting from regular team collaboration, company events, and employee resource groups.
  • In-person collaboration opportunities: Team gatherings and access to office amenities, including catered lunches and stocked kitchens, when working from designated offices.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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