Hiring: Lead Full Stack Engineer - Java, AWS + AI Company: Perficient Location: United States Job Posted Time: 2026-09-16 22:02:20 Employment Type: Remote Target Skills & Keywords : API Design, API Gateway, AWS, Agile, CI/CD, DynamoDB, ECS, EKS, Event-Driven, Java, LLM, Lambda, Microservices, RDS, REST, RESTful, S3, SNS, SQS, Spring Boot About the job Experience: •10+ years of software engineering experience with a strong focus on Java application development. •3+ years of experience in an Architecture, Lead Engineer, or Technical Lead capacity. Required Skills: •We currently have a career opportunity for a Full Stack Java Engineering Lead to join our remote team located in anywhere within North America. •The Java Engineering Lead provides technology direction, ensures project implementation compliance, and utilizes technology research to innovate, integrate, and manage technology solutions. This is a hands-on role requiring deep technical expertise in Java •Provide architectural solutions/designs to project execution teams for implementation. •Provide technology architectural assessments, strategies, and roadmaps for one or more technology domains. •Define and enforce engineering standards, architecture principles, and development best practices across delivery teams. •Interface directly with application developers, users, operational leadership, and subject matter experts to understand current and future operational data analysis goals. Recommend modern technology stacks to meet those goals and help engineering teams migrate towards their use. •Provide hands-on technical leadership while contributing directly to application design, coding, code reviews, and troubleshooting efforts. •Strategically drive adoption and integration of AI-enabled solutions, including Generative AI, LLM-powered applications, intelligent automation, and conversational experiences. Qualifications: •Deep expertise in Java and the broader Java ecosystem, including Spring Boot and enterprise application frameworks. •Strong experience designing and implementing microservices and distributed systems. •Hands on experience architecting and deploying solutions within AWS. •Demonstrated experience implementing AI-enabled capabilities, including Generative AI, LLM integrations, AI-assisted workflows, intelligent search, or automation solutions •In-depth knowledge of software architecture patterns, integration strategies, scalability, resiliency, and security best practices. •Strong knowledge of API design, RESTful services, and event-driven architectures. •Knowledge and experience in developing software using agile methodologies. •Demonstrated success in technical leadership roles delivering solutions within defined timeframes. •Skilled in building relationships with clients and in practice development activities. Compensation: •$73,008 - $170,640 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!