Top Senior Level Software Engineer Jobs in Charlotte, NC

Leads architecture, development, modernization, and integration of enterprise finance technology platforms. Designs scalable data pipelines using Python, Spark, and Kafka; supports financial transaction processing, accounting engines, regulatory reporting, and enterprise data warehouses. Provides technical leadership, establishes engineering standards, drives cloud, DevOps, CI/CD, security, and resiliency practices, resolves complex production issues, and mentors engineering teams while partnering with finance, accounting, risk, audit, and technology stakeholders.

Provides technical leadership for complex enterprise software solutions, translating business requirements into scalable designs and resilient applications. Leads development, architecture alignment, operational excellence, performance and reliability initiatives, and escalated issue resolution. Mentors engineers on standards, testing, security, Agile practices, and enterprise technologies while personally delivering complex Java and Spring Boot code modules.

Design and implement integration solutions and platform architectures to enable efficient data flow and hybrid cloud operations. Collaborate with clients to translate business requirements into technical designs, lead enterprise application integration and API strategies, manage project lifecycles, troubleshoot processes, and mentor junior team members to improve operational efficiency in banking environments.

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.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop and operate Java and Kotlin services for a large-scale cloud platform. Responsibilities include designing, testing, deploying, and improving software; diagnosing production reliability and performance issues; addressing scalability bottlenecks; enhancing observability; participating in incident response; and contributing to architecture, code reviews, and operational improvements.

Build and operate an agentic SOC investigation platform using LLMs, including telemetry tools, investigation workflows, evidence-backed outputs, evaluation systems, and analyst productivity features. Develop secure, reliable, observable backend services that handle attacker-influenced data across customer environments. Collaborate with SOC analysts, researchers, technical leads, and product managers to translate investigative expertise into production agent behavior.

Build and lead development of full-stack agentic AI products for systems modernization. Responsibilities include creating coding harnesses and runtime layers, integrating source control, CI/CD, security, and developer tools, scaling coding-agent workflows, and partnering with customers, designers, and mission teams. The role requires production-grade, cybersecurity-compliant systems, strong product judgment, and close collaboration with forward-deployed engineering teams supporting national security missions.

Design and deliver scalable, secure software systems for Bankrate’s digital products. Responsibilities include shaping architecture, developing APIs and cloud services, optimizing CI/CD pipelines, partnering with product and design, delivering large initiatives independently, resolving cross-team technical issues, mentoring engineers, improving engineering standards, and evaluating tools that enhance reliability, performance, and team productivity.

Lead the design, development, and delivery of scalable payroll onboarding software. Drive technically complex initiatives, influence architecture and roadmaps, collaborate across product, design, and engineering, improve reliability, promote coding best practices, mentor engineers, and use AI tools to enhance development productivity.