Home Based Kotlin Backend Jobs (NOW HIRING)

Job Summary:
Bayview Asset Management, LLC is seeking a Backend Engineer for their AI Platform team to build and evolve backend systems that power internal products and AI-enabled workflows. The role involves designing, building, and operating scalable services while collaborating with cross-functional teams to ensure reliable and maintainable backend capabilities.
Responsibilities:
• Design, build, and maintain production backend services for a wide variety of internal and external use cases, including product workflows, operational tools, integrations, APIs, and AI-enabled applications
• Develop well-structured APIs, domain models, service interfaces, and business logic that are easy to understand, test, operate, and extend
• Build scalable backend workflows that support complex business processes across loans, documents, accounts, users, permissions, vendors, and operational decision making
• Ensure backend services are reliable, testable, observable, and resilient as business needs, data volumes, and product surfaces evolve
• Contribute to service architectures that support transactional, operational, analytical, and AI-driven workloads across production environments
• Integrate with internal systems, third-party platforms, vendor APIs, databases, files, message queues, event streams, and cloud services
• Design patterns for service boundaries, idempotency, consistency, retries, failure handling, schema evolution, versioning, and backward compatibility
• Help define practical architecture standards that balance speed, simplicity, reliability, security, and long-term maintainability
• Deploy, operate, and improve backend services on major cloud platforms such as AWS, GCP, or Azure
• Use infrastructure-as-code, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliability
• Monitor production services using logging, tracing, metrics, alerting, and observability tools to proactively identify and resolve issues
• Support secure, resilient, and cost-conscious operation of cloud-based backend infrastructure and application services
• Build systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production support
• Implement authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns
• Establish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, and production readiness
• Contribute to practices that support security, privacy, auditability, compliance, and risk management in a regulated environment
• Partner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery priorities
• Translate business and operational requirements into clean, scalable, maintainable, and secure backend solutions
• Support downstream consumers of backend capabilities, including product teams, analysts, researchers, AI systems, operational users, and external integrations
• Communicate clearly with both technical and non-technical stakeholders about system behavior, tradeoffs, risks, dependencies, and delivery timelines
• Continuously improve service performance, reliability, scalability, security, and developer productivity
• Identify opportunities to simplify architecture, reduce operational toil, improve shared platform leverage, and make systems easier to reason about
• Operate with a strong bias toward action and iterative delivery, moving quickly from problem definition to implementation, validation, and improvement
• Help raise the bar on engineering quality through thoughtful design, code review, testing, documentation, mentorship, and operational discipline
Qualifications:
Required:
• 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 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
Company:
Bayview Asset Management, LLC (“Bayview”), initially founded in 1993, is a global alternative investment firm that provides flexible capital solutions while seeking to produce attractive risk-adjusted returns for its clients. Founded in 1995, the company is headquartered in Coral Gables, USA, with a team of 1001-5000 employees. The company is currently Late Stage.