Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead technical discovery and solution architecture for enterprise payment customers and prospects. Design secure, scalable integrations involving tokenization, payment flows, processors, APIs, and credential portability. Support opportunities through demos, proofs of concept, RFPs, security reviews, architecture approval, and implementation handoff. Partner with Sales, Account Management, Product, Engineering, and customers to manage technical risks, influence the product roadmap, and develop reusable architectures and enablement materials.

Build secure, production-critical payment infrastructure for AI agent transactions. Design Python and FastAPI services, APIs, domain models, provisioning workflows, and cryptographic payment flows. Ensure scalability, reliability, observability, security, and comprehensive testing. Use Kubernetes, AWS, Terraform, and GitOps to automate infrastructure. Collaborate with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Owns and grows strategic agentic commerce, fintech, PSP, and wallet partnerships. Responsibilities include developing growth plans, managing executive relationships, advancing integrations, coordinating launches, identifying product and revenue opportunities, tracking payment and AI trends, and translating partner insights into recommendations for Sales, Product, Marketing, and leadership. The role also supports opportunity qualification, positioning, packaging, and partnerships planning.

Own revenue, accounts payable, accounts receivable, and monthly close activities. Responsibilities include revenue recognition under ASC 606, reconciliations, journal entries, collections support, audit schedules, controls, finance systems improvement, and mentoring junior accounting staff. The role partners with Sales, RevOps, Account Management, and external auditors.

Build and scale the application security program by integrating SAST, DAST, and SCA tooling into CI/CD pipelines; define Secure SDLC processes and threat modeling practices; manage bug bounty triage and metrics; conduct Java and Python code reviews; deliver secure coding training; develop security champions; and support vulnerability disclosures and security communications.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Drive strategy, discovery, requirements, prioritization, and roadmaps for payment messaging products. Lead complex multinational implementations modernizing banking and acquiring systems. Design configurable, developer-friendly interfaces for interpreting ISO 8583, ISO 20022, and related protocols. Partner with banks, processors, customers, engineering, implementation, executives, and go-to-market teams while integrating with existing platforms and legacy technologies.

Leads an autonomous team of 8–10 engineers developing payment acceptance and value-added services such as network tokens, account updater, 3DS, and account validation. Oversees AI-augmented software delivery, architecture, hiring, coaching, roadmap collaboration, reliability, security, incident response, testing, observability, and compliance. Partners cross-functionally to deliver scalable, secure, enterprise-grade financial products and participates in on-call rotations.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.