Senior Software Engineer - Full Stack

Worth AI•Orlando, FL

About The Position

Worth is seeking a Senior Software Engineer to join its Integrations Squad and own systems that connect Worth to external services. The squad builds and operates third-party data integrations that support Worth’s crosswalking and decisioning, public APIs and SDKs, customer integrations with banks, lenders, processors, and ISVs, and internal connectors between Worth services. The role combines hands-on production engineering with technical leadership and ownership across the squad and broader product. The engineer will design and deliver an integration layer handling more than 700 million SMB records. This includes translating partner APIs and customer requirements into technical plans, and anticipating rate limits, schema drift, partial outages, and data-quality issues across upstream systems. The work spans backend and, where needed, frontend systems, integration architecture, public APIs, data storage, event-driven workflows, deployment, monitoring, incident response, refactoring, and mentoring. Success means shipping new integrations reliably and on schedule; meeting performance and reliability targets for existing integrations; maintaining a consistent, versioned public API that is easy for customers to use; improving integration-layer code quality and maintainability; and strengthening squad delivery through clear technical direction and execution.

Requirements

At least 8 years of professional software engineering experience.
Demonstrated ownership of major production features or subsystems, ideally with significant integration or platform API surface area.
Deep expertise in the Node.js and TypeScript ecosystem.
Strong system design skills, especially for resilient integrations, including retries, idempotency, circuit breakers, rate limiting, webhook handling, and graceful degradation.
Experience designing or operating a public API or SDK, including versioning, authentication, contracts, and developer ergonomics.
Hands-on experience with PostgreSQL, including schema design and query optimization.
Experience building or maintaining event-driven systems using Kafka.
Comfort operating containerized applications in Kubernetes.
Proven ability to refactor complex or legacy integration code into modular, swappable, well-tested adapters.
Demonstrated experience mentoring junior engineers and raising team quality standards.
Ability to work effectively in high-ambiguity environments, including when partner specifications are incomplete, contradictory, or change over time.

Nice To Haves

Direct experience integrating with KYB, KYC/IDV, AML, fraud, banking, or identity data providers.
Experience building and shipping a public SDK in one or more languages.
Experience with AWS services including MSK, RDS, EKS, S3, and Lambda.
Experience with Infrastructure-as-Code tools such as Terraform.
Strong background in distributed caching strategies using Redis, such as response caching, deduplication, and rate limiting.
Experience with Redshift schema design and ETL pipelines for vendor data.
Production experience with Python in backend systems.
Background in fintech, payments, lending, or regulated data environments.

Responsibilities

Own the design and implementation of major integrations and subsystems, from partner evaluation through production rollout and ongoing operation.
Build and maintain integrations with third-party data providers, including KYB, KYC/IDV, AML, fraud, banking, and identity providers, and abstract them behind clean, versioned internal contracts.
Design, evolve, and operate Worth’s public REST APIs and SDKs, including versioning, backward compatibility, authentication, rate limiting, and developer experience.
Translate ambiguous partner specifications, customer integration requirements, and vendor edge cases into clear technical designs with understood tradeoffs.
Write production code across backend and, where needed, frontend systems using Node.js, TypeScript, Nest.js, and React.js.
Design and evolve PostgreSQL schemas for vendor responses, normalization layers, and crosswalking metadata, attending to indexing, performance, and data integrity.
Build event-driven workflows with Kafka and Redis to orchestrate enrichment, retries, dead-lettering, and backpressure across slow or unreliable upstream APIs.
Optimize slow queries and address systemic performance bottlenecks in high-throughput integration pipelines.
Deploy, monitor, and debug containerized integration services in Kubernetes, including creating alerting and runbooks to identify vendor degradations before they affect customers.
Refactor legacy or accreted integration code into modular, testable, swappable adapters.
Handle production incidents involving vendor outages, schema changes, authentication rotations, or quota exhaustion, and harden systems to reduce recurrence.
Lead by example in code reviews and coach others on integration patterns, resilience, testing strategy, and API design.
Communicate complex tradeoffs across engineering, product, partnerships, and customer-facing teams.