Highlights
Proficiency with Kafka, IBM MQ, distributed messaging, containerized deployments, and Kubernetes is essential for creating reliable, high‑throughput transaction‑processing systems. We are seeking a Senior Lead Software Engineer – Java Architect with deep expertise in Java, Spring Boot, microservices, and event‑driven development.
Numbers & Facts
| Location | Palo Alto, CA |
| Job Type | Contractor, Full-time, Employee |
| Salary | $100,000–$110,000 Per Year |
| Company Size | 201 - 500 |
| Headquarters | Livonia, MI, US |
| Website | https://plugins-inc.com/ |
Description
We are seeking a Senior Lead Software Engineer – Java Architect with deep expertise in Java, Spring Boot, microservices, and event‑driven development.
The ideal candidate has hands‑on experience designing, building, and maintaining scalable enterprise applications and RESTful APIs.
Proficiency with Kafka, IBM MQ, distributed messaging, containerized deployments, and Kubernetes is essential for creating reliable, high‑throughput transaction‑processing systems.
The role collaborates with product owners, business analysts, and operations teams to turn business requirements into secure, scalable solutions.
Candidates must understand software architecture, automated testing, CI/CD pipelines, application resiliency, and production troubleshooting.
Experience in payment processing or financial services is preferred.
Use of enterprise‑approved AI‑assisted development tools is required, along with the ability to validate AI‑generated code for correctness, performance, security, and maintainability.
Job Responsibilities
- Design, develop, and maintain enterprise‑grade Java applications with Spring Boot and microservices.
- Build and integrate secure, scalable RESTful APIs.
- Translate payment‑validation, enrichment, routing, and exception‑handling requirements into technical solutions.
- Develop event‑driven applications using Kafka and IBM MQ.
- Implement reliable transaction workflows, including idempotent message handling and resilient integrations.
- Ensure architecture aligns with established standards.
- Create automated unit, integration, and end‑to‑end tests.
- Contribute to CI/CD pipelines, static analysis, and code‑quality gates.
- Deploy and operate microservices in Docker and Kubernetes environments.
- Monitor production, troubleshoot issues, perform root‑cause analysis, and improve stability.
- Work with Oracle, SQL, and NoSQL databases for data management and transaction processing.
- Use approved AI coding assistants for generation, refactoring, test creation, debugging, and documentation.
- Validate AI‑generated outputs through peer review, automated testing, secure coding, and performance checks.
- Follow responsible AI practices, handling sensitive data per enterprise security policies.
- Analyze production telemetry to identify recurring problems and enhance architecture, performance, and code quality.
- Collaborate with engineering, product, business, and operations stakeholders to deliver reliable software.
Qualifications
- Formal training or certification in software engineering and at least five years of relevant experience.
- Strong hands‑on experience with Java, Spring Boot, and microservices.
- Proven ability to design, develop, test, and maintain enterprise applications.
- Experience building secure RESTful APIs with authentication and authorization.
- Practical experience with Kafka, IBM MQ, or comparable enterprise messaging platforms.
- Experience with relational databases (e.g., Oracle) and NoSQL stores.
- Solid understanding of SQL, database design, and schema‑change management.
- Proficiency with JUnit, Mockito, automated testing, and CI/CD pipelines.
- Experience using Maven, Jenkins, or similar build and deployment tools.
- Experience deploying and operating containerized applications with Docker and Kubernetes.
- Hands‑on use of enterprise‑authorized AI‑assisted development tools and ability to critically assess generated code.
- Knowledge of responsible AI use, secure development practices, application resiliency, and software security.
- Experience troubleshooting complex problems in enterprise production environments.
- Strong grasp of Agile methodologies and the Software Development Life Cycle (SDLC).
Preferred Qualifications
- Experience in banking, financial services, payments, or transaction processing.
- Knowledge of payment workflows, clearing and settlement, fraud detection, or sanctions screening.
- Experience with event sourcing, state‑machine workflows, or high‑throughput processing.
- Familiarity with gRPC and Protocol Buffers.
- Python experience for automation, internal tooling, and data analysis.
- Knowledge of observability tools such as OpenTelemetry and Grafana.
- Familiarity with JavaScript, HTML, and CSS.
- Experience improving application performance, reliability, scalability, and observability.