أبلاي إيدج ابدأ البحث عن عمل

Lead Engineer

Atlas Search · New York City Metropolitan Area

قدّم وتابع مع أبلاي إيدج
Position OverviewThis hands-on Engineering Lead will help advance a cloud-based payments platform while improving how a distributed engineering team builds and delivers software. The role combines active Java development, technical leadership, mentoring, cloud architecture, and practical adoption of AI-assisted engineering practices.The ideal candidate is a strong senior engineer who still codes, has led distributed teams, and brings experience with modern payments technology and AWS-based systems.Key ResponsibilitiesLead and mentor engineers while remaining hands-on with architecture, coding, debugging, reviews, and production support.Design and build scalable services using Java, AWS, APIs, microservices, event-driven architecture, and serverless technologies.Improve engineering practices across planning, testing, code review, CI/CD, release readiness, and production reliability.Partner with Product, QA, DevOps, and Architecture to drive platform modernization and delivery.Introduce practical AI-assisted development practices across requirements, coding, testing, documentation, and code review.Help the team improve estimation, technical decision-making, and delivery ownership.Required Qualifications10+ years of software engineering experience with strong hands-on backend development experience in Java or Node.js.5+ years of technical leadership experience, including leading distributed engineering teams.Experience designing and operating cloud-native systems on AWS.Strong understanding of microservices, APIs, event-driven architecture, serverless systems, and resilient transaction processing.Experience in payments, financial services, transaction processing, or a related regulated environment.Experience mentoring engineers and improving engineering standards through code reviews, design reviews, and technical coaching.Hands-on experience with Git, CI/CD, release management, and modern software delivery practices.Professional experience using AI-assisted development tools or agentic engineering workflows.