Senior Software Engineer I – Backend & AI-Enabled

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We are looking for a Senior Software Engineer I who is passionate about building scalable, reliable, and cloud-native software systems. While this role is primarily focused on backend engineering, we are seeking engineers who are comfortable contributing across the stack when needed and are excited to leverage AI-powered development tools to accelerate delivery and innovation. You will play a key role in designing and developing backend services that power mission-critical voice processing application while collaborating closely with frontend, product, QA, and platform engineering teams. We value engineers who can adapt quickly, learn continuously, and use modern AI-assisted development practices to improve productivity and software quality. What you’ll do Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot. Develop and maintain Infrastructure as Code (IaC) using Salt and Terraform to provision, manage, and support AWS infrastructure for SaaS applications. Build and evolve RESTful APIs, microservices, and event-driven systems that support business-critical workflows. Collaborate with cross-functional teams, including frontend engineers, to deliver seamless end-to-end product experiences. Leverage AI-assisted development tools and practices to accelerate coding, testing, debugging, documentation, and code reviews while maintaining high standards of quality and security. Drive observability, reliability, automation, and operational excellence across services, including monitoring, incident response, troubleshooting, and performance optimization. Participate in architecture discussions, technical design reviews, and engineering best-practice initiatives. Support production systems through on-call participation, incident management, and continuous service improvements. Mentor and support engineers through code reviews, technical guidance, and knowledge-sharing activities. What you'll bring: 5+ years of professional software engineering experience building enterprise-grade applications. Strong expertise in Java and Spring Boot development. Strong expertise in Infrastructure as Code (IaC), with hands-on experience using Salt and Terraform. Experience designing and building cloud-native backend systems using RESTful APIs, microservices, Docker, Kubernetes, and related container orchestration technologies. Strong understanding of distributed systems, scalability, performance, reliability, and secure software design principles. Experience with cloud platforms such as AWS. Hands-on experience with CI/CD pipelines, automated testing, and modern DevOps practices. Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Codex, Windsurf, Kiro, or similar platforms. Ability to critically evaluate, validate, and improve AI-generated code while maintaining quality, security, and maintainability standards. Interest in continuously learning and applying emerging AI-assisted development practices. Excellent problem-solving, debugging, and analytical skills. Experience with observability, monitoring, and production support practices. Ability to work effectively in Agile/Scrum environments. Nice-to-Have Experience Working knowledge of and modern frontend development practices. Building AI-enabled applications, agents, automation workflows. Originally posted on Himalayas

我们正在寻找一位对构建可扩展、可靠且云原生软件系统充满热情的高级软件工程师I。虽然该职位主要侧重于后端工程，但我们希望工程师在需要时能够跨全栈贡献，并乐于利用AI驱动的开发工具来加速交付和创新。您将在设计和开发支撑关键任务语音处理应用的后端服务中发挥关键作用，同时与前端、产品、QA和平台工程团队紧密协作。我们重视能够快速适应、持续学习，并运用现代AI辅助开发实践来提升生产力和软件质量的工程师。您将做什么使用Java和Spring Boot设计、开发并维护可扩展、安全且高性能的后端服务。使用Salt和Terraform开发和维护基础设施即代码（IaC），以配置、管理和支持SaaS应用的AWS基础设施。构建并演进支持关键业务工作流的RESTful API、微服务和事件驱动系统。与跨职能团队（包括前端工程师）协作，交付无缝的端到端产品体验。利用AI辅助开发工具和实践来加速编码、测试、调试、文档编写和代码审查，同时保持高质量和安全标准。推动服务中的可观测性、可靠性、自动化和运营卓越，包括监控、事件响应、故障排查和性能优化。参与架构讨论、技术设计评审和工程最佳实践倡议。通过值班参与、事件管理和持续服务改进来支持生产系统。通过代码审查、技术指导和知识分享活动来指导和支持工程师。您将带来：5年以上构建企业级应用的专业软件工程经验。在Java和Spring Boot开发方面具备深厚专长。在基础设施即代码（IaC）方面具备深厚专长，并具有使用Salt和Terraform的实操经验。具有使用RESTful API、微服务、Docker、Kubernetes及相关容器编排技术设计和构建云原生后端系统的经验。对分布式系统、可扩展性、性能、可靠性和安全软件设计原则有深入理解。具有AWS等云平台的经验。具有CI/CD流水线、自动化测试和现代DevOps实践的实操经验。具有使用AI驱动的开发工具（如GitHub Copilot、Cursor、Claude Code、Codex、Windsurf、Kiro或类似平台）的经验。能够批判性地评估、验证和改进AI生成的代码，同时保持质量、安全性和可维护性标准。有兴趣持续学习和应用新兴的AI辅助开发实践。出色的问题解决、调试和分析能力。具有可观测性、监控和生产支持实践的经验。能够在Agile/Scrum环境中有效工作。加分项具备现代前端开发实践的 working knowledge。构建AI赋能的应用、代理、自动化工作流。原文发布于Himalayas

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