Senior Backend Kotlin Developer

Senior Backend EngineerAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! We are looking for a Senior Backend Engineer to design and maintain scalable, secure backend systems that power a high-scale consumer dating platform. You will work with Kotlin and AWS-native services, owning projects end-to-end from architecture to production delivery. The role includes mentoring junior engineers and contributing to technical standards, with AI-assisted development tools integrated into the engineering workflow.Design, implement, and maintain backend systems that are scalable, secure, and reliable, using AWS-native services; Drive individual projects from inception to delivery, owning the full software development lifecycle; Collaborate with Product Managers, Designers, and other Engineers to ship new features and improvements; Apply AI-based development tools and workflows to enhance productivity and code quality; Participate in architecture discussions and propose technical solutions that support long-term scalability; Support junior engineers through pairing, mentoring, and code reviews; Contribute to engineering standards and best practices to maintain a high-quality codebase.You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; 5+ years of professional experience in backend Kotlin software engineering; 2+ years working with cloud environments, preferably AWS, including deployment and monitoring; Proven experience using AI-powered development tools (e.g., Cursor, Claude, ChatGPT) as part of day-to-day engineering workflows, along with hands-on experience integrating and supporting AI/LLM-powered features or services in production systems; Proven ability to run projects autonomously and deliver production-ready systems; Exposure to secure API design, distributed systems, and microservices architecture; Experience with CI/CD pipelines and containerization tools like Docker or Kubernetes; Familiarity with infrastructure-as-code tools such as Terraform and observability platforms such as Datadog, Prometheus; Excellent communication skills and a collaborative, inclusive mindset; Upper-intermediate English level.Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: USD-based pay with education, fitness, and team activity budgets. Exciting projects: Modern solutions with Fortune 500 and top product companies. Flextime: Flexible schedule with remote and office options.