默克生命科学
Senior Software Development Engineers
Senior Software Development Engineers
发布于 5 个月前基层主管/组长
Burlington, Massachusetts, United States
高级经验
全职员工
混合式弹性办公
硕士
软件工程
全栈开发
团队领导
生命科学
Azure DevOps
Javascript
AI 估算 · 103k–105k
该职位要求高级技术能力和领导经验，涉及热门云技术和生命科学领域，市场竞争力强，薪资水平较高。
职位详情
关于这个职位
这是一个高级软件开发工程师职位，主要负责领导项目、指导初级开发者，并利用AWS等云技术开发生命科学领域的Web应用
你将作为技术骨干，参与从数据库设计到前端开发的全栈工作，并与科学家、产品经理等跨职能团队紧密合作，共同构建支持科研的软件解决方案
最低要求
雇主需要计算机科学或相关领域的硕士学位，以及五年软件开发者或相关职位的工作经验
此外，雇主还要求：
具备两年指导初级软件开发者和跨职能团队的经验
具备四年收集需求、准确解读复杂利益相关者需求、使技术任务与业务目标保持一致，并通过有效沟通和文档记录来最小化项目风险的经验
具备五年使用JavaScript、TypeScript、Git和AWS的经验
具备四年使用React和Azure DevOps的经验
具备两年使用Electron、YAML和Linux的经验
具备一年使用JIRA和Github的经验
所有经验年限可以同时获得
工作职责
领导项目并担任首席工程师，做出关键技术决策并协调开发工作
指导初级开发者，提供指导和专业知识以帮助他们成长
与跨职能团队（包括科学家、产品经理、项目经理和工程师）合作，设计和实施新功能
开发基于云的应用程序和服务，以支持生命科学领域的科学家进行研究
专注于使用AWS和其他云基础设施进行Web开发，以构建可扩展、可靠的解决方案
参与全栈开发任务，包括设计数据库和实现REST API
在必要时理解和调试C++和C代码，以解决现有系统中的问题或提供快速修复
使用JavaScript、TypeScript、YAML、React、Electron、Git、JIRA、Azure DevOps和Linux
为软件、产品和应用程序开发有效的面向用户和内部的文档
随着项目的发展，持续学习和适应新技术、工具和最佳实践
通过代码审查、测试和工程最佳实践确保高质量和高性能
远程办公可用
员工必须能够每周至少到办公室三天
AI 洞察
优缺点分析
优点
- Work on impactful software in the growing life science/healthcare sector with a large, established company.
- Gain leadership experience by mentoring juniors and leading projects, valuable for career advancement.
- Use a modern and diverse tech stack (cloud, full-stack) with opportunities for continuous learning.
- Enjoy a hybrid work model offering flexibility while maintaining team collaboration.
- Balancing technical hands-on work with leadership and mentoring responsibilities can be demanding.
- Need to understand and occasionally debug complex legacy C++/C systems alongside modern development.
- Working in a cross-functional team requires strong communication to bridge technical and scientific domains.
- This role is ideal for an experienced software engineer who enjoys technical leadership, wants to apply their skills in a meaningful scientific domain, and thrives in a collaborative, hybrid environment.
缺点 / 挑战
暂无明显挑战项
角色解读
- Technical path: Progress to Principal Engineer or Architect, specializing in cloud-native solutions for science.
- Management path: Move into Engineering Manager or Director roles, leading larger teams and strategic initiatives.
- Domain expertise: Deepen knowledge in life sciences/healthcare software, becoming a subject matter expert.
- Lead technical projects and mentor junior developers, making key architectural decisions.
- Develop full-stack, cloud-based web applications (using AWS, React, etc.) for life science research.
- Collaborate with scientists and product teams to translate research needs into software features.
- Work across the stack, from database design and REST APIs to front-end implementation and debugging legacy C++/C code.
- Strong expertise in modern web development with JavaScript/TypeScript, React, and cloud platforms like AWS.
- Proven experience in technical leadership, project coordination, and mentoring other engineers.
- Ability to work in a cross-functional environment, communicating effectively with non-technical stakeholders like scientists.
- Familiarity with a broad toolset including Git, Azure DevOps, JIRA, Electron, and Linux.
申请策略
- Research MilliporeSigma's products and their role in life science to tailor your motivation.
- Emphasize your curiosity and adaptability to new technologies, as mentioned in the job description.
- Quantify your leadership experience: mention the size of teams you've mentored or projects you've led.
- Detail specific projects where you used the key technologies (AWS, React, TypeScript) in a production environment.
- Highlight any experience in cross-functional collaboration, especially with non-engineering teams.
- Include examples of working with legacy systems or complex debugging scenarios.
- If weak, brush up on cloud architecture principles and AWS services commonly used for web apps.
- Review system design principles and be prepared to discuss how you would architect a scalable service.
面试指南
- Use the STAR method (Situation, Task, Action, Result) for behavioral questions to provide structured, impactful answers.
- For technical/design questions, start by clarifying requirements, then outline your high-level architecture, justify technology choices, and discuss trade-offs.
- When discussing challenges, focus on the problem-solving process and what you learned, not just the problem itself.
- Describe a time you led a technical project from conception to delivery. What challenges did you face?
- How would you design a scalable cloud service for processing scientific data?
- Tell us about your experience mentoring a junior developer. What approach did you take?
- Walk us through how you would debug a performance issue in a legacy C++ component of a larger system.
- Describe a situation where you had to collaborate with a non-technical team (like scientists) to define requirements.
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