Senior Lead Software Engineer - AI-Driven Cloud & Security

Next Frontier Capital

Plano (TX)

On-site

USD 180,000 - 230,000

Full time

14 days+

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Job summary

Next Frontier Capital is seeking a Lead Software Engineer for its Consumer & Community Banking - Digital Utilities group. You will be a core technical contributor, shaping architecture, delivering secure, scalable solutions, and guiding an agile team to meet business objectives.

You’ll lead design reviews, mentor engineers, and drive adoption of AI-assisted development practices while ensuring resilience, security, and operational excellence across cloud-native platforms.

Qualifications

Formal training or certification in software engineering concepts with eight or more years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages, including Java, Spring, AWS, Kubernetes, Kafka, MQ, Cassandra, Oracle, Spark, Control-M, Cloud Foundry, Kubernetes, PowerMock, JMeter, Splunk, Grafana, Dynatrace, Jenkins and etc.
Proficiency in automation and continuous delivery methods; strong CI/CD understanding.
Advanced understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security.
Demonstrated proficiency in cloud-native technologies, including experience with Amazon Web Services and Kubernetes.
Experience with data streaming technologies such as Apache Kafka and message queuing systems.
Demonstrated experience leading effective use of enterprise-authorized, AI-assisted software development tools - including coding, code review, test acceleration, and troubleshooting - with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations, with experience coaching engineers on safe and compliant adoption

Responsibilities

Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to solve complex problems
Develop secure, high-quality production code, and review and debug code written by others
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented assessment of architectural designs, technical credentials, and applicability within existing systems
Lead communities of practice across software engineering to drive awareness and adoption of new and leading-edge technologies
Drive team adoption of enterprise-authorized, AI-assisted engineering practices - including code review, refactoring, test strategy acceleration, and incident analysis - to improve code quality, delivery speed, and operational outcomes
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation
Foster a team culture of diversity, opportunity, inclusion, and respect

Skills

Java

Spring

AWS

Kubernetes

Kafka

Cassandra

Oracle

Spark

Jenkins

Spinnaker

Cloud Foundry

PowerMock

JMeter

Dynatrace

Grafana

CI/CD

Tools