Senior Software Engineer, Revenue
fuel talentSeattle (WA)
Senior Software Engineer, Revenue
Posted 42 days ago
fuel talentSeattle (WA)
SENIORITY
Lead
About the role
We're partnering with a leading consumer technology company to hire a Senior / Staff Software Engineer to help build and scale next-generation, AI-powered commerce experiences. This is a high-impact role focused on reimagining how customers interact with digital products across complex journeys—transforming traditional, static experiences into dynamic, personalized, AI-driven interactions. You'll play a key role in modernizing core systems that power shopping, transactions, and post-purchase experiences, leveraging real-time data and machine learning to deliver more relevant and intelligent outcomes.
What You'll Be Doing:
- Architect and build AI-native product experiences that dynamically adapt to user behavior and context
- Design and implement systems that power personalization, recommendations, and intelligent decisioning in real time
- Integrate LLM-powered capabilities into production applications, ensuring performance, reliability, and scalability
- Re-architect and modernize legacy systems into scalable, distributed microservices
- Build and maintain high-performance APIs and backend services supporting high-traffic, consumer-facing applications
- Collaborate closely with product, design, and data teams to translate business goals into technical solutions
- Contribute across the stack, with a primary focus on backend systems and the ability to support modern front-end development when needed
- Lead system design discussions and influence architecture decisions across teams
- Mentor engineers and elevate engineering standards across the organization
- Diagnose and resolve complex issues related to performance, scalability, and reliability
- What We're Looking For8–12+ years of professional software engineering experience
- Strong backend expertise with experience building distributed systems at scale
- Proven track record of delivering consumer-facing products in production environments
- Hands-on experience integrating AI/LLM capabilities into real-world applications (beyond experimentation or prototypes)
- Deep understanding of microservices architecture, system design, and service decomposition
- Experience designing systems that support real-time processing, personalization, and high availability
- Proficiency in backend technologies such as C#, Java, or similar
- Working experience with modern front-end frameworks (e.g., React)
- Strong problem-solving skills with experience troubleshooting complex production systems
- Excellent communication skills and the ability to work cross-functionally
Preferred Qualifications:
- Experience building AI-driven product features, such as recommendation systems, conversational interfaces, or intelligent workflows
- Familiarity with LLM integration patterns, including prompt design, orchestration, and evaluation strategies
- Experience working with data pipelines, event-driven architectures, or streaming systems
- Background in ecommerce, marketplace, or high-transaction environments
- Experience with cloud platforms such as AWS, Azure, or GCPWhat Makes This Role Compelling
- Opportunity to build AI-powered experiences used by millions of customers
- Work on complex, high-scale systems that directly impact revenue and customer experience
- Influence the evolution of a platform undergoing significant technical and product transformation
- Collaborate with a team that values ownership, technical excellence, and innovation
Interview Process:
- Initial technical screen (90 minutes)
- Final round: System design interview (90 minutes)
- Technical / coding interview (60 minutes)
- Cross-functional interview with product and team leadership (30 minutes)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.