Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

Responsibilities

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

Nice to Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Staff Software Engineer to join our Financial Engineering team.

As a Staff Software Engineer, you will be responsible for architecting and building foundational backend systems with a focus on performance, scalability, and reliability.

You will drive strategic technical direction for complex, cross-team initiatives and establish and evolve platform best practices, frameworks, and architectural standards within the team.

You will provide deep technical mentorship, guide design decisions, and raise the bar for engineering quality.

Collaborate with product, finance, and engineering leadership to shape the team's technical roadmap.

Drive system improvements by embedding AI into engineering and operational practices.

What we look for in you:

8+ years building and operating large-scale distributed systems in production.

Deep expertise in backend programming (e.g., Go, Python, Java) and cloud-native architecture.

Proven track record designing highly available, high-performance systems.

Ability to anticipate scaling bottlenecks and take proactive measures.

Experience leading cross-functional technical initiatives and mentoring engineers.

Ability to distill complex technical concepts into clear, actionable solutions.

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

Experience with financial data, accounting systems, or high-precision transaction processing OR

Experience in the Auth domain.

You’ve worked with Golang, Ruby, Docker, Rails, Postgres, MongoDB or DynamoDB.

You have gone through rapid growth in your company (from startup to mid-size).

Job # : P75025

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$218,025-$256,500 USD

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