资深软件工程师，后端
Staff Software Engineer, Backend
公司简介
Kantiv 是一家科技公司，正在改变建筑、工程和施工（AEC）行业专业人士管理营销和营收运营的方式。我们的 AI 驱动软件简化了工作流程，使团队更容易协作、创新并取得成功。
职位简介
我们正在寻找一位首席后端工程师/架构师，负责我们核心后端系统的技术方向，并成为我们工程文化的基石。除了编写复杂的代码；你还将是团队的技术核心，设计可扩展的云架构并建立严格的工程标准。你的目标是成为增效力量——培训、指导和引导我们的开发人员提升技能，同时确保我们的平台保持稳健、高性能，并能随着我们快速发展的 AI 能力进行扩展。
你将负责的工作
- 系统架构：设计、构建和演进可扩展、高可靠且高性能的后端服务和 API，为我们的 AI 驱动平台提供支持。
- 技术领导与指导：作为工程团队的专家导师，通过架构白板讲解、结对编程和有建设性的代码审查来培训和提升开发人员的技能。
- 实战工程：以身作则，解决最复杂的工程技术挑战，编写干净、可维护的代码，并为整个团队设定质量标准。
- 工程卓越：定义并执行全公司范围内的系统设计、数据库模式、自动化测试和可观测性最佳实践，确保我们的系统稳健且具备生产就绪能力。
- 跨职能协作：与产品、平台和 AI 工程团队紧密合作，确保架构一致性，无缝连接传统 Web 后端与前沿机器学习任务。
- 你将带来的优势
- 8 年以上后端软件工程经验，具有明确的架构领导、系统设计和技术团队领导的成果记录。
- 后端与 API 专长：在设计分布式系统、现代 API（REST、GraphQL）、微服务或模块化单体架构以及复杂数据模型方面具有深厚的专业知识。
- 多语言能力：在现代后端语言（如 Python、Go 或类似语言）中具有强大的编程技能，并具备选择合适工具和设计模式的架构智慧。
- 指导意识：有带领和指导团队的经验，
查看英文原文
About the company
Kantiv is a technology company revolutionizing the way professionals in the architecture, engineering, and construction (AEC) industry manage marketing and revenue operations. Our AI-powered software streamlines workflows, making it easier for teams to collaborate, innovate, and succeed.
About the role
We are looking for a Principal Backend Engineer / Architect to lead the technical direction of our core backend systems and serve as a cornerstone for our engineering culture. Along with writing complex code; you will be the technical anchor for the team, designing scalable cloud architectures and establishing rigorous engineering standards. Your goal is to act as a force multiplier—training, mentoring, and guiding our developers to elevate their skills while ensuring our platform remains resilient, performant, and ready to scale alongside our rapidly growing AI capabilities.
What you’ll do
- System Architecture: Design, build, and evolve scalable, resilient, and high-performing backend services and APIs that power our AI-driven platform.
- Technical Leadership & Mentorship: Act as an expert guide for the engineering team. Train and upskill developers through architectural whiteboarding, pair programming, and thoughtful, constructive code reviews.
- Hands-on Engineering: Lead by example by tackling the most complex technical challenges, writing clean, maintainable code, and setting the quality standard for the rest of the team.
- Engineering Excellence: Define and enforce organization-wide best practices for system design, database schemas, automated testing, and observability to ensure our systems are robust and production-ready.
- Cross-Functional Alignment: Partner closely with Product, Platform, and AI engineering teams to ensure architectural alignment, seamlessly bridging traditional web backends with cutting-edge machine learning workloads.
What You’ll Bring
- 8+ years of experience in backend software engineering, with a proven track record of architectural leadership, system design, and technical team leadership.
- Backend & API Mastery: Deep expertise in designing distributed systems, modern APIs (REST, GraphQL), microservices or modular monoliths, and complex data models.
- Polyglot Proficiency: Strong programming skills in modern backend languages (such as Python, Go, or similar) with the architectural wisdom to choose the right tool and design pattern for the job.
- Mentorship Mindset: Demonstrated experience leading, training, and leveling up mid-level and junior engineers. You possess the emotional intelligence to lead with empathy and the communication skills to explain complex concepts simply.
- Cloud & Infrastructure Fluency: Solid understanding of public cloud environments, containerization, and how to architect cost-effective systems that leverage cloud-native services.
- Database Expertise: Strong grasp of modern data storage and processing, including relational databases, caching layers, and asynchronous messaging/event queues.
Experience we’d be particularly excited about
- Scaling B2B SaaS: Proven experience navigating the technical and organizational challenges of scaling a high-growth SaaS platform from early traction to enterprise scale.
- AI/LLM Integration: Experience architecting systems that seamlessly integrate and serve ML models, LLMs, or other computationally heavy, data-intensive workloads.
- Event-Driven Systems: Deep knowledge of event-driven architectures, distributed tracing, and complex asynchronous processing patterns.
- Attributes: Exceptional problem-solving skills, a pragmatic approach to technical debt, high emotional intelligence, and excellent written and verbal communication.
- Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Experience we’d be particularly excited about
- You love experimenting with new architectural patterns and evaluating emerging backend technologies.
- You have experience or interest in machine learning and AI system integrations.
- You have an understanding of the AEC (Architecture, Engineering, and Construction) industry, RevOps, or B2B SaaS platform ecosystems.
What to expect
We conduct a rigorous interview process based on integrity, talent, and drive. We trust our teammates from day one and move quickly to evaluate your fit for the role. The entire interview process typically takes two weeks. Here's what to expect:
- A 30 minute Zoom meeting to talk about Kantiv, your background, and answer any questions about the role. (Getting to know each other)
- 45-minute Python proficiency / agentic coding proficiency test. 2 problems. 1 to be coded by hand. Other using Gen AI.
- 60 min project, deep dive into the work they have done. A short presentation followed by a Q&A. Presentation should conclude between 20-25 min.
- 45 min interview on Gen AI / LLM fundamentals.
- 30 min culture fit.
Originally posted on Himalayas