Senior Lead Software Engineer - Java, Kafka, Cloud
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Key skills for this role
Role Overview
Serve as a Senior Lead Software Engineer within Payments Technology on an agile team.
Enhance, build, and deliver secure, stable, scalable, market-leading technology products.
Use deep technical expertise and problem-solving methods across multiple technologies and applications.
Key Skills for This Role
Full Job Posting
Role overview
Serve as a Senior Lead Software Engineer within Payments Technology on an agile team.
Enhance, build, and deliver secure, stable, scalable, market-leading technology products.
Use deep technical expertise and problem-solving methods across multiple technologies and applications.
Job responsibilities
- Provide technical guidance to business and technical teams, contractors, and vendors.
- Develop secure production code and review and debug code written by others.
- Drive adoption and governance of approved AI-assisted engineering practices.
- Establish validation standards for secure coding, peer review, testing, release readiness, and incident analysis.
- Apply software development lifecycle tools and automation capabilities at scale.
- Influence product design, application functionality, technical operations, and processes.
- Serve as a function-wide subject matter expert and advocate for firmwide engineering practices.
Required qualifications and skills
- Expertise building large-scale, high-throughput applications.
- Proficiency in Java, Spring Boot, Kafka, and cloud-native applications.
- Proficiency in distributed systems and parallel processing.
- Proficiency in performance analysis and tuning with Java profiling and monitoring tools.
- Experience leading enterprise-authorized AI-assisted software development and validating AI outputs.
- Understanding of responsible AI, data sensitivity, secure handling, resiliency, and security expectations.
- Ability to solve design and functionality problems independently with little to no oversight.
Preferred qualifications and skills
- Working experience with Kafka Streams, event-driven architecture, and microservices architecture.
- Understanding of behavior-driven design, Kubernetes, Apigee Gateway, and cloud services.
- Working knowledge of agentic workflows and production deliverables in agentic AI.
- Hands-on experience across the modern AI toolchain.
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