Senior Backend Engineer ID63949

AgileEngine•Downey, CA

2d•Hybrid

About The Position

AgileEngine 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. 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.

Requirements

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

Responsibilities

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