Lead Software Engineer (Java)

Quick Facts

• Role: Lead Software Engineer (Java)

Description

You will lead the design, development, and technical troubleshooting of secure, stable, scalable software products within an agile team. As a core technical contributor, you will execute solutions across multiple technical areas, review and debug production code, and elevate engineering practices using AI-assisted tools with strong validation for correctness, performance, and security.

Responsibilities

• Deliver creative software solutions, design, development, and troubleshooting beyond routine approaches

• Develop secure, high-quality production code and perform code review and debugging

• Drive adoption of enterprise-authorized AI-assisted engineering practices (AI-assisted review/refactoring, accelerated test strategy, incident/root-cause analysis support)

• Apply Software Development Life Cycle toolchain knowledge to improve automation value

• Identify recurring issues to remediate or automate for better operational stability

• Lead vendor/startup/internal evaluation sessions for architectural applicability

• Lead communities of practice across software engineering to spread new technologies

Requirements

• Formal training or certification in software engineering concepts and 5+ years applied experience

• Experience leading effective use of approved AI-assisted software development tools and setting validation expectations for correctness, performance, and security

• Knowledge of responsible AI use: data sensitivity, secure input/output handling, and safe compliant adoption

• Hands-on Java backend development with Spring Boot in production

• System design experience for scalable, secure microservices and API-driven architectures

• Strong OOP, design patterns, concurrency, debugging, and performance tuning fundamentals

• Solid unit and integration testing discipline, automation, and code quality practices

• Advanced programming proficiency (Java; plus Python or C#) and hands-on work with LLMs and generative AI

• Distributed systems and cloud platform experience (AWS, Google Cloud Platform, Azure)

• Experience with microservices, RESTful APIs, and relational/NoSQL databases

• Experience with development/testing tools and frameworks (e.g., JUnit, Groovy, Cucumber, Postman, REST Assured, Eclipse, Maven, Jenkins, IntelliJ)

• Performance testing and chaos testing experience (e.g., JMeter, Blazemeter, Chaos Monkey Testing)

Benefits

• Competitive total rewards package including base salary (role/experience/skills/location dependent)

• Possible commission-based pay and/or discretionary incentive compensation in eligible roles

• Comprehensive health care coverage and on-site health/wellness centers

• Retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more

• Additional compensation and benefits details provided during the hiring process