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Über
The backend engineer on the AI platform team plays a critical role in building and evolving the backend systems that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role is responsible for designing, building, testing, and operating reliable, scalable, and flexible services that support a wide range of internal and external use cases. This role contributes to the development and evolution of core backend and distributed systems capabilities, including service-oriented architectures, APIs, workflow orchestration, event-driven integrations, identity and permissions, operational tooling, and system interfaces that enable product, data, and AI teams to move quickly. Success requires strong technical depth, sound systems thinking, and the ability to build dependable solutions in a cloud-based, regulated, high-stakes environment. The backend engineer is expected to operate effectively in a modern engineering environment, using automation, observability, CI/CD, testing, and infrastructure-as-code practices to deploy, manage, and improve production services. In parallel, this individual will help enable downstream product capabilities, operational workflows, reporting, and AI systems by ensuring that backend services are trustworthy, maintainable, and performant. This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors. Responsibilities
Scale high-performance distributed systems Systems architecture & integration Cloud deployment & operations Reliability, security & compliance Cross-functional collaboration Iteration & continuous improvement Qualifications
3 - 5+ years of experience building and operating production-grade backend systems, APIs, services, or distributed applications Strong software engineering fundamentals, including data structures, algorithms, system design, debugging, testing, and code quality Experience designing, building, maintaining, and debugging services that run in production and support real users or business-critical workflows Experience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin, Scala, TypeScript, or C# Experience with API design, service boundaries, event-driven or asynchronous architectures, relational data stores, and non-relational data stores Experience building transactional systems where correctness, idempotency, consistency, reconciliation, and auditability matter Experience deploying and operating backend services on major cloud platforms such as AWS, GCP, or Azure Strong SQL skills and comfort with application data modeling, schema evolution, migrations, query performance, and data access patterns Experience building AI-powered capabilities on top of LLMs, including orchestration, retrieval, evaluation, tool integrations, and workflow automation Comfort working with CI/CD, infrastructure-as-code, observability, incident response, and production operations for backend systems Strong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, security, and flexibility Clear communication skills with both technical and non-technical teammates Preferred experience Experience in fintech, mortgage, lending, payments, insurance, banking, capital markets, or other regulated domains Experience with queues, streaming, and event-driven platforms such as Kafka, Kinesis, SQS/SNS, Pub/Sub, RabbitMQ, or similar systems Experience building secure identity, access control, permissions, audit trail, policy, or compliance-oriented backend capabilities Experience building high-volume, low-latency, multi-tenant, B2B, enterprise, or internal platform systems Experience building AI products, developer platforms, workflow automation systems, or LLM-powered enterprise applications Experience improving system reliability, cost efficiency, developer productivity, and operational scalability as a platform grows A note to candidates You do not need prior fintech or finance experience to succeed in this role. If you are a strong backend engineer with solid technical judgment, a product mindset, and excitement for solving complex systems problems, we would love to hear from you. If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply. Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence, and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law. #LI-Remote
Sprachkenntnisse
- English
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