远程工作雷达

高级软件工程师

Senior Software Engineer

开发工程限定地区(需当地身份)日间重叠约 2 小时,需偶尔早起或晚睡
公司Bryq
薪资未公开
工作地点Italy
地域资格限定地区(需当地身份)
时区要求日间重叠约 2 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Italy 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠约 2 小时,需偶尔早起或晚睡。

我们正在寻找一名高级软件工程师加入我们的工程团队,帮助构建支撑Bryq人才智能产品的平台。你将参与解决复杂且影响深远的问题,从提升我们评估交付基础设施的可靠性和性能,到构建连接我们的心理测量引擎与客户日常使用的产品的数据管道和API。这是一个需要经验丰富的工程师承担重要技术领域责任、指导经验较少的同事,并参与架构决策的角色。你将在一个重视工程品质的协作环境中工作,你的意见至关重要。

关键职责

  • 设计、构建并维护可扩展且可靠的后端系统和API
  • 承担重要技术领域的责任,包括架构决策、代码质量和系统性能
  • 参与完整的软件开发生命周期:需求、设计、实现、测试、部署和监控
  • 审阅同事的代码并提供建设性且技术严谨的反馈
  • 指导和支持中级和初级工程师,帮助他们在技术和职业上成长
  • 与产品、数据科学和工业组织心理学团队合作,将复杂需求转化为稳健的技术解决方案
  • 主动识别并解决技术债务、性能瓶颈和可靠性风险
  • 参与值班轮班,并为事件响应和事后分析流程做出贡献
  • 为工程最佳实践、工具链和开发者体验改进做出贡献

要求
必备资格

  • 5年以上专业软件工程经验,其中至少2年在高级或领导岗位
  • 精通一种或多种后端语言(例如:Python、Node.js、Go、Java)
  • 对分布式系统、API设计(REST或GraphQL)和云基础设施(AWS、GCP或Azure)有扎实的理解
  • 具备关系型和非关系型数据库的经验,以及它们之间的权衡理解
  • 有从设计到生产全程负责技术领域的实际能力
  • 良好的沟通能力,能有效与工程和非工程利益相关者协作
  • 计算机科学、软件工程或同等实践经验的本科学位

优先考虑(加分项)

  • 在B级公司或类似规模企业的工作经验
查看英文原文

We are looking for a Senior Software Engineer to join our engineering team and help build the platform that powers Bryq's talent intelligence products. You will work on complex, high-impact problems, from improving the reliability and performance of our assessment delivery infrastructure to building the data pipelines and APIs that connect our psychometric engine to the products our clients use every day. This is a role for an experienced engineer who is comfortable taking ownership of significant technical areas, mentoring less experienced colleagues, and contributing to architectural decisions. You will work in a collaborative environment where engineering quality is taken seriously and your opinion matters.
Key Responsibilities

  • Design, build, and maintain scalable and reliable backend systems and APIs
  • Take ownership of significant technical areas including architecture decisions, code quality, and system performance
  • Contribute to the full software development lifecycle: requirements, design, implementation, testing, deployment, and monitoring
  • Review code from peers and provide constructive, technically rigorous feedback
  • Mentor and support mid-level and junior engineers, helping them grow technically and professionally
  • Collaborate with product, data science, and I-O psychology teams to translate complex requirements into robust technical solutions
  • Proactively identify and address technical debt, performance bottlenecks, and reliability risks
  • Participate in on-call rotations and contribute to incident response and post-mortem processes
  • Contribute to engineering best practices, tooling, and developer experience improvements

Requirements
Required Qualifications

  • 5+ years of professional software engineering experience, with at least 2 years in a senior or lead capacity
  • Strong proficiency in one or more backend languages (e.g., Python, Node.js, Go, Java)
  • Solid understanding of distributed systems, API design (REST or GraphQL), and cloud infrastructure (AWS, GCP, or Azure)
  • Experience with relational and non-relational databases and the trade-offs between them
  • Proven ability to take ownership of a technical domain end-to-end — from design through to production
  • Strong communication skills and ability to work effectively across engineering and non-engineering stakeholders
  • Undergraduate degree in Computer Science, Software Engineering, or equivalent practical experience

Preferred (Nice to Have)

  • Experience in a B2B SaaS or HR technology environment
  • Familiarity with psychometric data, assessment platforms, or data-intensive applications
  • Experience with event-driven architecture or message queuing systems (Kafka, RabbitMQ, or similar)
  • Contributions to open source projects or a strong public technical portfolio
  • Experience working in a remote-first engineering team
  • Postgraduate degree or research background in a quantitative discipline

Benefits

  • Competitive salary benchmarked at senior market rates
  • Equity / stock option scheme
  • Fully remote with optional access to co-working hubs
  • 30 days annual leave plus public holidays
  • Annual learning and development budget (conferences, courses, certifications)
  • Top-spec hardware of your choice
  • A small, high-trust engineering team where your influence on technical direction is real

Originally posted on Himalayas

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