Java AI Lead Software Engineer
Role details
Job location
Tech stack
Job description
Own end-to-end delivery of complex backend components, embedding AI-native capabilities (agentic workflows, LLM-powered features) into core product experiences. Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Participate actively in design reviews and architecture discussions Identify performance bottlenecks and propose optimizations Mentor junior engineers through code reviews and technical guidance Strong problem-solving and debugging skills Ability to work independently on ambiguous problems Clear technical communication with peers and stakeholders
Requirements
Formal training or certification on software engineering concepts and 7+ years applied experience. Experience in designing and developing distributed systems using Java Strong knowledge in Core Java (Java 21+), Spring Boot, React, REST, Kafka, Microservices, Agile, DevOps Hands-on practical experience using AI coding assistants (GitHub Copilot, Cursor, Claude, etc.). Hands-on practical experience delivering system design, application development, testing, and operational stability Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Experience in object oriented analysis and design (OOAD) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Experience working with cloud platforms such as AWS Experience on asynchronous communication using messaging/streaming systems (Kafka, RabbitMQ, or equivalents) Ability to design and optimize data models either in relational or NoSQL databases Ability to handle data consistency, replication, sharing, and transactional boundaries Familiar with containerization and orchestration tools: Docker, Kubernetes Knowledge on integration with CI/CD pipelines for automated build, test, and deployment Exposure to cloud technologies
Preferred qualifications, capabilities, and skills Advanced knowledge of application, data, and infrastructure architecture disciplines Strong written and oral communication and excellent presentation and influencing skills Familiarity with modern front-end technologies Practical cloud native experience
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.