高级软件工程师 – 后端
Senior Software Engineer – Backend
## 关于我们
自2013年以来，我们一直在打造一款不会阻碍你工作的CRM，帮助你的团队更快地销售更多产品。现在，我们正在将AI融入每个部分，让Close处理繁杂的工作，而你的团队专注于销售。没有手动数据输入，没有10步流程。只是以沟通为核心、由AI驱动的销售软件，旨在帮助你成功并实现规模增长。
我们是自筹资金且盈利的公司，这意味着我们只对客户负责，按照自己的规则行事。我们自豪地拥有一个120人的、100%远程的团队，专注于打造Close，让任何小型成长型公司都不会因为无法掌握销售而失败。
## 我们的工具栈
我们的后端技术栈主要包括Python Flask Web应用，我们的[TaskTiger](https://github.com/closeio/tasktiger)调度器处理许多后端异步任务处理工作。我们的数据存储包括MongoDB、PostgreSQL、Elasticsearch和Redis。底层基础设施运行在AWS上，使用了EKS、MSK、RDS和ElastiCache等管理服务以及运行在EC2实例上的非管理服务。我们有CI/CD流水线，用于构建Docker镜像、运行自动化测试并部署到Kubernetes集群。我们还在本地开发环境中使用这些镜像，允许在所有服务上进行本地编码。我们有一个经过良好文档记录的[公共API](https://developer.close.com/)，被我们的前端JavaScript应用以及众多集成所使用。我们使用Terraform、Ansible和其他AWS工具对基础设施进行了大量自动化处理。
我们喜欢在[我们的GitHub](https://github.com/closeio)和[The Making of Close](https://making.close.com/)——我们的幕后产品与工程博客上开源我们的代码和想法。查看我们的开源项目，如[SocketShark](https://github.com/closeio/socketshark)、[TaskTiger](https://github.com/closeio/tasktiger)、[LimitLion](https://github.com/closeio/limitlion)和[ciso8601](https://github.com/closeio/ciso8601)。
AI既是我们的构建方式，也是我们交付的产品，这重塑了工程的面貌。这是我们正在积极拥抱的转变，我们认为非常令人兴奋。
## 我们的团队
当你申请时，将有机会突出最吸引你的团队。我们会尽最大努力尊重这一偏好，但我们也会评估技能匹配度和业务需求。
有一件事需要提前知道：随着工作的变化，我们会在不同团队之间调动人员。这里的大多数工程师在任职期间都会加入超过一个团队。
查看英文原文
## About Us
Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
## Our Stack
Our backend tech stack consists primarily of Python Flask web apps with our [TaskTiger](https://github.com/closeio/tasktiger) scheduler handling many of the backend asynchronous task processing chores. Our data stores include MongoDB, PostgreSQL, Elasticsearch, and Redis. The underlying infrastructure runs on AWS using a combination of managed services like EKS, MSK, RDS and ElastiCache and non-managed services running on EC2 instances. We have CI/CD pipelines that build Docker images, run automated tests and deploy to Kubernetes clusters. We also use these images in our local development environment allowing coding locally against all of our services. We have a well-documented [public API](https://developer.close.com/) that is consumed by our front-end JavaScript app as well as numerous integrations. Our infrastructure is heavily automated using Terraform, Ansible and other AWS tools.
We love open sourcing our code and ideas on [our GitHub](https://github.com/closeio) and on [The Making of Close](https://making.close.com/), our behind-the-scenes Product & Engineering blog. Check out our open source projects like [SocketShark](https://github.com/closeio/socketshark), [TaskTiger](https://github.com/closeio/tasktiger), [LimitLion](https://github.com/closeio/limitlion) and [ciso8601](https://github.com/closeio/ciso8601).
AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting.
## Our Teams
When you apply, you’ll have an opportunity to highlight the team that appeals to you the most. We’ll do our best to honor this preference, but we'll also be evaluating skillset fit and the needs of the business.
One thing to know up front: we do move people between teams as the work shifts. Most engineers here end up on more than one team over their time at Close - this team is where you’ll start, but over time you’ll likely have the opportunity to work on many different projects.
The work splits roughly like this. Pick the team that excites you most:
- **Agents.** Build Close’s agentic platform and customer-facing AI experiences. Voice Agents, Custom Agents, and Ask Chloe are already in flight. You’d work on the shared intelligence and orchestration layer that powers AI-driven processes across the product. That includes the ecosystem around our APIs and MCP surface, which enables external agents like Claude and ChatGPT to operate Close. This team is pushing deeper into applied AI, retrieval, and agent infrastructure more than ever before.
- **Communications.** Own the voice, SMS, and email infrastructure powering Close — Twilio, WebRTC, WebSockets, AssemblyAI, ElevenLabs, and more. You’ll help build our voice, messaging, and conversational AI agents while scaling real-time AI across calls, email, and calendar sync infrastructure.
- **CRM.** Build the structured context layer that humans and agents both depend on. We're rebuilding the data model so it flexes with real businesses, making the CRM agent-ready (retrieval, traversal, action coverage through MCP and our public API), and shipping the next generation of AI-native CRM features (AI Enrich, Autofill, AI Search). Operating on billions of Mongo documents with Elasticsearch underneath.
- **Growth.** Run the experiments and own the billing infrastructure that turn trials into paid customers. Stripe metered billing, AI credit top-ups, the activation and conversion funnel, and the team's biggest bet right now: agentic onboarding (an agent that walks new customers through setup, configuration, and first comms). Hypothesis-driven, metric-first.
## You Are
- A seasoned engineer. Python is our backbone, but perhaps you’ve worked across Go, Rust, or TypeScript. You pick the right tool for the problem rather than retreating to what you know. You’ve seen a variety of problems, can collaborate and self-direct.
- Building AI. You've shipped LLM-backed features for real users and have a POV on where they're trustworthy, where they fall over, and how to get them production-ready when customers bet revenue on the output. We use Pydantic, Temporal, LangFuse, and other modern AI infrastructure tooling to power our agent platform.
- Working with AI in your day-to-day. You use AI tools in your own workflow to ship faster, write tighter code, and reason about unfamiliar parts of the codebase. We fund the use of AI tools (Claude Code, Codex and other best-in-class developer tools) and treat learning and experimentation as part of the work.
- A builder first. You’d rather get the first iteration of a feature in front of fifty customers than spend three weeks fretting over a perfect PR. You ship.
- Opinionated about API design for modern software. You've shipped internet-facing APIs and you think about who's on the other end - apps, agents, humans poking around in docs - and what each of them needs.
- Battle-tested. You've debugged incidents where latency budgets didn't hold, owned a system everyone else relied on, or carried a pager for something with real customer impact.
## Benefits
- Compensation: Competitive pay plus an organization-wide goal-based bonus
- Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close.
- 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay
- Parental Leave: Paid leave for primary and secondary caregivers
- Sabbatical: A 1-month paid sabbatical every 5 years with the team
- Healthcare (US residents): Two medical plans with Close covering 99% of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability
- 401k (US residents): We match your contributions up to 6%, vested immediately
## Our Values
Build a house you want to live in - Examine long-term thinking and action
No BS - Practice transparency and honesty, especially when it’s hard
Invest in each other - Build successful relationships with your coworkers and customers
Discipline equals freedom - Keep your word to yourself and others
Strive for greatness - Constantly challenge yourself and others
## Learn More
Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the [$0-30m Blueprint](https://www.close.com/blueprint).
Watch [our culture video](https://www.youtube.com/watch?v=maXKi1GN2MI) from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany!
Explore our product. Check out a [demo](https://www.close.com/demo-site)!
## Our Hiring Process
We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume.
We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for _you_ - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.
Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy.
If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.