Top Senior Level Software Engineer Jobs in Charlotte, NC

Leads large-scale data engineering initiatives, including migrating SQL Server implementations to Databricks. Designs, codes, tests, documents, and reviews complex technology solutions while establishing engineering standards, guiding teams, resolving technical issues, and mentoring peers. The role supports advanced analytics, data governance, data onboarding, cloud technologies, and modern data architecture.

Architects and builds enterprise-scale, low-latency trade lifecycle platforms for FICC and derivatives. Leads modernization from legacy systems to cloud-native microservices, develops production-grade Java and Python services, and supports real-time valuations, trade-event orchestration, resilience, auditability, and complex derivative modeling. Partners with trading, quant, risk, operations, and compliance teams; influences architecture standards; integrates AI-assisted development; and mentors senior engineers across capital markets technology.

Leads the architecture, development, deployment, and operation of enterprise-scale GCP data platform products. Designs data ingestion, processing, movement, metadata, and analytics capabilities; resolves distributed-systems challenges; and drives automation, observability, resiliency, security, disaster recovery, and cost optimization. Provides technical governance, mentors engineers, leads incident remediation, defines roadmaps, and influences architecture and technology strategy across teams.

Lead complex engineering engagements, architect AI-driven systems, design application patterns, mentor teams, and act as a trusted technical advisor to clients.

Lead and grow engineering teams delivering fixed-income broker-dealer platforms. Drive architecture, modernization, DevSecOps, regulatory compliance, and integration across trading, order management, settlement, inventory, risk, and reporting. Partner with front office, operations, risk, and compliance to translate business needs into scalable solutions while improving platform stability, automation, and audit readiness.

Lead design, implementation, and optimization of the PROS pricing application. Serve as technical and functional SME, translate complex sales and commercial requirements into scalable pricing solutions, and integrate PROS with Salesforce, SAP, CPQ. Support data-driven decision-making, stakeholder engagement, and work in Agile environments to improve revenue, margins, and quoting operations.

Lead Guidewire system implementations and upgrades (Digital Portals), design and deliver Guidewire solutions, manage large projects, engage senior clients, provide strategic input, mentor teams, and ensure operational excellence and client satisfaction.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

Lead teams focused on developer productivity and observability, build metrics and analytics infrastructure, and drive AI-enabled tooling to measurably improve the software development lifecycle. Partner with engineering and data stakeholders to define roadmaps, mentor engineers, and deliver measurable improvements in adoption, reliability, and developer experience.

Lead full‑stack engineering for enterprise retail solutions: set technical direction, design and build scalable frontend/backend systems and APIs, drive operational excellence, mentor engineers, and partner with customers and product teams to deliver resilient, high‑scale commerce platforms.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.