软件工程师 II - 开发加速器
Software Engineer II - Dev Accelerator
关于团队
Abnormal AI 正在寻找一名软件工程师 II 加入开发加速团队。开发加速团队构建并运营我们的内部开发者平台：工具、库和基础设施，让 100 多名工程师能够快速且安全地设计、构建、测试和发布产品。
我们最近正在推进的一些项目
- 自主 PR 生成器，用于推出迁移和 linter 规则执行
- 测试框架，用于实现清晰的端到端测试支持，包括数据生成和覆盖率工具
- 优化 CI 执行速度
- 开发者 CLI 工具：一种“提示到产品”风格的 CLI，可从头到尾生成服务，环境和凭证工具，以及一系列内部开发者脚本
- 大规模代码迁移，以提升代码库的结构，提高 AI 效率
我们的目标是让产品团队和基于平台的 AI 代理使用正确的路径变得简单。
你将负责的工作
作为开发加速团队的软件工程师 II，你将：
- 开发和演进支持 Abnormal 全体开发的内部开发者平台
- 负责 CLI 工具、CI/CD、共享库和测试基础设施等高影响力项目
- 使用 Python、Go、Bazel、Kubernetes、AWS 和 CI 系统，使我们的黄金路径快速、可靠且直观
- 设计 AI 原生的抽象和工作流，供人类和 AI 代理使用
这是一个需要承担多季度计划的个人贡献者角色。成功需要与产品工程、基础设施、SRE、安全和其他合作伙伴团队紧密协作。
必备条件
- 3 年以上软件工程师或类似岗位的工作经验
- 精通利用 AI 工具通过软件系统的发现、设计、实施和部署来加速工程成果
- 有使用 LLMs 改善开发流程的经验或强烈兴趣（例如，故障总结、智能代码生成、AI 原生 CLI）
加分项
- 熟悉我们的技术栈：Python、Golang、Bazel、AWS、Kubernetes、Github Actions
- 构建或维护过被其他工程师使用的 CLI 工具、模板系统或内部框架
- 有测试数据管理、集成/E2E 测试基础设施或坏测试检测的经验
- 有以下方面的实际经验
- CLI 开发
- YAML/Jinja2 风格的模板
- 现代类型提示和类型规范（例如，typing、dataclasses / attrs、Pydantic 风格模式）
查看英文原文
About the Team
Abnormal AI is looking for a Software Engineer II to join the Dev Accelerator Team. The Dev Accelerator team builds and operates our internal developer platform: the tools, libraries, and infrastructure that let 100+ engineers design, build, test, and ship products quickly and safely.
Some of the pieces we’ve been working on recently
- Autonomous PR generators for rolling out migrations and linter rule enforcement
- Testing frameworks for enabling clear end to end test support with data generation and coverage tooling
- Optimizing CI execution speeds
- Developer CLI tooling: a “Prompt-to-Product” style CLI that scaffolds services end to end, environment and credentials tooling, and a broad set of internal developer scripts
- Large scale code migrations to improve the shape of the codebase for AI efficacy
Our goal is to make the easy path the right path for product teams and AI agents building on the platform.
What You’ll Do
As a Software Engineer II, Dev Accelerator, you will:
- Develop and evolve the internal developer platforms that supports development across Abnormal
- Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure.
- Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make our Golden Path fast, reliable, and intuitive.
- Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents.
This is an individual-contributor role with ownership of multi-quarter initiatives. Success requires close collaboration with product engineering, Infrastructure, SRE, Security, and other partner teams.
Must Haves
- 3+ years of experience as a software engineer or in a similar role
- Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.
- Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs).
Nice to Have
- Familiarity with our stack: Python, Golang, Bazel, AWS, Kubernetes, Github Actions
- Built or maintained CLI tools, scaffolding systems, or internal frameworks used by other engineers.
- Experience with test data management, integration/E2E test infrastructure, or bad-test detection.
- Hands on experience in
- CLI development
- YAML/Jinja2-style templating.
- Modern type hints and typing discipline (e.g., typing, dataclasses / attrs, Pydantic-style patterns).
- Testing with standard frameworks like pytest/Ginkgo or similar.
- Shared library and service development (gRPC/HTTP).
- Authoring reusable workflows
- #LI-NT1
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.