Lead Software Engineer Key Responsibilities Lead system architecture using Domain-Driven Design (DDD), event-driven patterns, and well-defined service boundaries Ensure best practices in event streaming, messaging, idempotency, and system consistency Review and approve architectural designs, code, and key technical decisions Drive refactoring of legacy systems into scalable, domain-aligned solutions Provide technical leadership for the front-end (Vue.js), ensuring clean architecture and maintainability Collaborate with UX and product teams to deliver scalable, user-friendly interfaces Lead, mentor, and develop engineering teams (senior, mid, junior, QA) Establish and enforce coding standards, best practices, and documentation Manage sprint delivery, identify risks, and remove bottlenecks Act as the key technical liaison between engineering, business, and operations Translate business requirements into clear technical solutions and domain models Participate in planning, backlog refinement, and solution design workshops Drive system reliability, observability, and operational readiness Ensure systems are traceable, testable, and supportable Promote a culture of quality, accountability, and continuous improvement Manage team performance, workload distribution, and delivery alignment Facilitate Agile ceremonies (stand-ups, planning, retrospectives, etc.) Support hiring, conduct interviews, and oversee timesheets and leave approvals Qualifications: Degree in Computer Science, Software Engineering, or related field (or equivalent experience) Agile/Scrum/Kanban certification advantageous Experience with tools like Jira or Azure DevOps beneficial Training in leadership, coaching, or team management advantageous Experience: 6+ years in software engineering, including 2+ years in a leadership role Strong experience with DDD and Event-Driven Architecture (EDA) Front-end experience with Vue.js or similar frameworks Proven ability in code reviews, mentoring, and technical leadership Experience working with business and operational stakeholders Advantageous: Microservices and messaging systems (e.g., Kafka, RabbitMQ) Cloud platforms (AWS, Azure, or GCP) Experience in insurance, finance, or compliance-driven environments