高级后端工程师
Senior Backend Engineer
加入 beqom — 技术与影响力交汇的地方
beqom 是一家高增长的 B2B SaaS 公司，提供行业领先的工具用于薪酬公平性与透明度、薪酬管理和绩效管理。
被世界上一些最受尊敬的公司所信赖，beqom 帮助 HR 和业务领导者应对全球合规要求，并做出更明智的薪酬决策，以吸引、保留和激励顶尖人才。
成立于瑞士，服务全球客户，我们的强大且企业级的产品由 beqom 薪酬智能驱动。
职位概述
我们正在寻找一位高级后端工程师加入我们的数据平台核心团队，该团队负责 beqom 数据架构的核心服务——多租户数据采集、模式管理、快照、计算字段以及支撑产品中分析和报告的数据合同。
你将与数据平台和分析工程师、支持团队以及产品利益相关者紧密合作。我们是一个以 AI 为先的工程团队——Claude Code、代理编排和自动化评审流程是我们默认的开发方式，我们期望你能进一步推动这一实践。
你将从事的工作
· 特性开发
· 设计并构建跨多租户数据平台服务的特性：数据采集、模式管理、生效日期、快照、计算字段和导出。
- 与 .NET 8/C#、PostgreSQL、EF Core、Dapper、MediatR（CQRS）和 RabbitMQ（MassTransit）事件驱动工作流进行实际操作。
- 优化性能关键路径：批量采集、大数据导出、内存高效的流处理和复杂 SQL。
代理开发
· 通过 AI 代理交付大部分输出：将特性分解为结构良好的规格，运行并行代理会话，并在发布前对结果进行批判性评审。
- 构建和维护团队的代理工具：自定义 Claude Code 技能和子代理、暴露内部 API 的 MCP 工具、提示/上下文规范（CLAUDE.md）和自动化评审流水线。
- 设计使代理速度安全的验证机制：测试策略、质量门禁和评估，以捕捉生成代码中的幻觉 API、细微逻辑错误和性能退化。
质量与协作
· 与支持和工程团队合作，调查并解决生产环境中的数据问题。
- 维持强大的测试覆盖率：单元测试和集成测试。
- 提高可观测性（OpenTelemetry）和运营稳定性。
- 记录架构决策并编写清晰的文档
查看英文原文
Join beqom — where tech meets impact
beqom is a high-growth B2B SaaS company that provides industry-leading tools for pay equity and transparency, compensation, and performance management.
Trusted by some of the world’s most respected companies, beqom enables HR and business leaders to navigate global compliance and make smarter pay decisions that attract, retain, and motivate top talent.
Founded in Switzerland and serving clients worldwide, our powerful, enterprise-ready products are fuelled by beqom pay intelligence.
Role Overview
We are looking for a Senior Backend Engineer to join our Data Platform Core team, which owns the services at the heart of beqom’s data architecture — multi-tenant data ingestion, schema management, snapshots, calculated fields, and the data contracts powering analytics and reporting across the product.
You will collaborate closely with Data Platform and Analytics engineers, Support teams, and Product stakeholders. We are an AI-first engineering team — Claude Code, agent orchestration, and automated review workflows are how we build by default, and we expect you to help push that practice further.
What you'll be doing
· Feature Development
· Design and build features across multi-tenant data platform services: data ingestion, schema management, effective dating, snapshots, calculated fields, and exports.
- Work hands-on with .NET 8/C#, PostgreSQL, EF Core, Dapper, MediatR (CQRS), and RabbitMQ (MassTransit) event-driven workflows.
- Optimise performance-critical paths: bulk ingestion, large data exports, memory-efficient streaming, and complex SQL.
Agentic Development
· Deliver most of your output through AI agents: decompose features into well-structured specifications, run parallel agent sessions, and review outcomes critically before they ship.
- Build and maintain the team’s agentic tooling: custom Claude Code skills and sub-agents, MCP tools exposing internal APIs, prompt/context conventions (CLAUDE.md), and automated review pipelines.
- Design the verification that makes agent speed safe: test strategy, quality gates, and evals that catch hallucinated APIs, subtle logic errors, and performance regressions in generated code.
Quality & Collaboration
· Investigate and resolve production data issues in collaboration with Support and Engineering.
- Maintain strong test coverage: unit and integration tests.
- Improve observability (OpenTelemetry) and operational stability.
- Document architecture decisions and write clear, actionable PRs and commit messages.
- Mentor other engineers — in backend craft and in effective agent-driven development — and raise the bar in code reviews.
Skills & Experience
What you'll bring
- Demonstrated senior-level experience building production backend services with .NET/C#.
- Strong SQL and PostgreSQL skills: schema design and query optimisation.
- Proven performance and memory awareness — streaming vs. buffering, profiling and load-testing skills — and the ability to judge whether AI-generated solutions meet performance and scalability needs.
- Track record of shipping features that are complete and stable, backed by strong test discipline.
- Experience with multi-tenant SaaS architectures.
- Deep, daily experience with AI-driven development — Claude Code strongly preferred — including multi-agent orchestration, building custom skills and sub-agents, and structuring codebases and context for effective agent work.
- Experience turning requirements into precise, agent-executable specifications, and reviewing AI output at the feature level: spotting hallucinations, architectural drift, and security issues.
- Excellent written communication: design docs, specifications, PR descriptions, and commit history that both humans and agents can act on.
Bonus points if you have
- Experience building MCP servers or exposing internal APIs as agent-callable tools.
- Experience with LLM evaluation: eval suites, behavioural test design, or benchmarking agent workflows.
- Functional programming in C# (LanguageExt — Either/Option patterns).
- CDC/event-driven ingestion (Debezium, Kafka) or lakehouse exposure (Microsoft Fabric).
- Azure services, Docker, Kubernetes/Helm.
- Familiarity with compensation, HR, or pay transparency domains.
Why join us?
- Your career, your design. Unleash your ambition in our dynamic, autonomous environment.
- Drive meaningful change. Build a fairer future for every employee by joining a market leader that is improving the world of work.
- Belong to something bigger. Collaborate with a passionate, diverse and talented team around the globe.
Originally posted on Himalayas