高级软件工程师 - 平台与集成（后端）
Senior Software Engineer - Platform & Integrations (Backend)
### 概述
我们正在寻找一名高级软件工程师，为一家企业SaaS组织设计、构建和运营大规模分布式系统和服务。在该职位中，您将帮助塑造具有弹性的、以AI为核心软件交付实践，同时构建支持现代云平台和面向客户的产品体验的高可用服务。
平台与集成团队正在构建为整个Seismic平台提供基础支持的核心服务。在拥有自主权和责任感的情况下，您将应用以AI为先的开发理念、云原生架构以及前沿技术来构建和维护对用户体验至关重要的功能。
### 你是什么样的人：
- 在设计和运营企业级SaaS系统、分布式服务和云运维基础设施方面有丰富经验，注重可扩展性、可靠性、安全性和高可用性。
- 5年以上使用C#和.NET或其他主要面向对象编程语言及Web服务的经验。
- 3年以上使用PostgreSQL或主要的关系型数据库管理系统（RDBMS）的经验，包括性能调优、维护、模式设计和运维最佳实践。
- 熟练掌握测试驱动开发（TDD）、领域驱动设计（DDD）、API测试和现代工程质量管理实践。
- 有使用Kafka或RabbitMQ等技术构建事件驱动架构的经验，以及使用Redis等内存数据存储的经验。
- 有使用容器技术及云原生平台如Docker、Kubernetes、Istio、etcd和服务网格架构的实际经验。
- 有使用AWS、GCP或Azure的经验，包括在生产环境中部署和运行容器化工作负载。
- 熟悉CI/CD流水线、基础设施即代码（IaC）以及Terraform或Pulumi等工具。
- 有指导工程师、领导设计评审并影响跨团队技术方向的经验。
- 有与产品、设计、工程以及全球分布团队有效协作的实证能力。
- 有在快节奏、动态环境中工作的经验，最好是在SaaS或技术驱动的公司。
**优先条件**
- 有使用AI原生开发工具和平台（如Claude、GitHub Copilot、Agentforce或类似工具）的经验。
- 有使用大语言模型（LLM）、检索增强生成（RAG）、模型集成模式、AI辅助工作流或智能产品功能的实际经验。
- 有使用可观测性、分析、自动化或数据平台的经验。
查看英文原文
### Overview
We are looking for a Senior Software Engineer to design, build, and operate large-scale distributed systems and services for an enterprise SaaS organization. In this role, you will help shape resilient, AI-native software delivery practices while building high-availability services that support modern cloud platforms and customer-facing product experiences.
The Platform and Integrations team is building the core services that provide foundational support to the entire Seismic Platform. With autonomy and ownership, you will apply an AI-first development philosophy, cloud-native architectures, and leading-edge technologies to build and maintain features critical to the user experience.
### Who you are:
- Extensive experience designing and operating enterprise-grade SaaS systems, distributed services, and cloud operational infrastructure for scalability, reliability, security, and high availability.
- 5+ years of experience with C# and .NET, or another major object-oriented programming language, and web services.
- 3+ years of experience with PostgreSQL or major RDBMS, including performance tuning, maintenance, schema design, and operational best practices.
- Proficiency with Test-Driven Development (TDD), Domain-Driven Design (DDD), API testing, and modern engineering quality practices.
- Experience with event-driven architectures using technologies such as Kafka or RabbitMQ, and in-memory data stores such as Redis.
- Hands-on experience with container technologies and cloud-native platforms such as Docker, Kubernetes, Istio, etcd, and service mesh architectures.
- Experience with AWS, GCP, or Azure, including deploying and operating containerized workloads on Kubernetes in production.
- Familiarity with CI/CD pipelines, Infrastructure as Code, and tools such as Terraform or Pulumi.
- Experience mentoring engineers, leading design reviews, and influencing technical direction across teams.
- Proven ability to collaborate effectively with product, design, engineering, and globally distributed teams.
- Experience working in a fast-paced, dynamic environment, preferably in a SaaS or technology-driven company.
**Preferred qualifications**
- Experience with AI-native development tools and platforms such as Claude, GitHub Copilot, Agentforce, or similar tools.
- Hands-on experience with LLMs, RAG, model integration patterns, AI-assisted workflows, or intelligent product features.
- Experience with observability, analytics, automation, or data platforms such as New Relic, Snowflake, Ansible, or Python.
- Experience with major CRM ecosystems such as Salesforce or Microsoft Dynamics.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
### What you'll be doing:
- Design, develop, and operate enterprise-grade distributed systems and services that are scalable, reliable, secure, and highly available.
- Own end-to-end technical design for key services and subsystems, evaluate architectural trade-offs, and drive implementation decisions across backend services, cloud infrastructure, and data platforms.
- Build and maintain production services using C#/.NET or other major object-oriented programming languages, web services, and modern API patterns.
- Apply AI-native development practices — including LLM-assisted development, retrieval-augmented generation (RAG), and agentic workflows — to accelerate delivery and build intelligent product capabilities.
- Collaborate closely with product management, design, and distributed engineering teams to translate business needs into technical solutions from concept through launch.
- Improve engineering quality through Test-Driven Development (TDD), Domain-Driven Design (DDD), automated testing, observability, and operational excellence.
- Identify and drive improvements to system reliability, performance, scalability, and developer experience across the platform.
- Participate in on-call support rotations and incident response to ensure service reliability, availability, and timely resolution of production issues.
- Mentor engineers, participate in design and code reviews, and help raise the technical bar across globally distributed teams.
### What we have for you:
At Seismic, we’re committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page.
We are committed to fair and equitable compensation practices.Seismic's annual base salary range for this position will vary based on applicant's location, experience, job level, skills, and abilities as well as internal equity and alignment market data. _The range listed below is the minimum to the maximum of our target hiring range._ Seismic's salary range for this position is: - This position is also eligible to participate in Seismic's incentive plans in addition to base salary. The actual incentive amount will very and will be subject to the terms and conditions set in the applicable incentive plan.
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