Python Kubernetes Software Engineer Data Jobs in Clermont, FL

Worth is looking for a Senior Software Engineer to join our Integrations Squad and own the systems that connect Worth to the outside world. Our squad builds and operates the third-party data integrations that power Worth's crosswalking and decisioning, the public API and SDKs ourcustomers build against, the customer-side integrations into banks, lenders, processors, and ISVs, and the internal connectors that glue Worth's services together. This is a hands-on engineering role for someone who thrives in production code, handles ambiguity with confidence, and raises the technical bar for the team around them. You will design and deliver the integration layer that 700M+ SMB records flow through, break down messy partner APIs and customer requirements into clean technical plans, and anticipate the rate limits, schema drift, partial outages, and data-quality issues that come with depending on dozens of upstream systems. Your impact will extend across the squad and the broader product through both direct contribution and technical leadership.

Responsibilities

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

Requirements

• 8+ years of professional software engineering experience.
• Demonstrated ownership of major features or subsystems in production, ideally with significant integration or platform-API surface area.
• Deep expertise in the Node.js and TypeScript ecosystem.
• Strong system design skills, especially around resilient integrations: retries, idempotency, circuit breakers, rate limiting, webhook handling, and graceful degradation.
• Experience designing or operating a public API or SDK (versioning, auth, contracts, 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 operate effectively in high-ambiguity environments, including partner specs that are incomplete, contradictory, or change underneath you.

Success Metrics

• New vendor and customer integrations ship reliably and on schedule, with clear rollout, monitoring, and rollback plans.
• Existing integrations meet defined performance and reliability targets (P90/P99 latency, success rate, uptime, MTTR)
• The public API surface stays consistent, versioned, and easy for customers to build against;
• Code quality and maintainability measurably improve within the integration layer;
• Squad delivery velocity improves due to clearer technical direction and stronger execution.

Bonus Points

• 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 (response caching, dedup, 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.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance
• Flexible Paid Time Off
• 9 paid Holidays
• Family Leave
• Remote
• Hybrid work (for Orlando Associates)
• Free Food & Snacks (Orlando)
• Wellness Resources