高级软件工程师（C#）
Senior Software Engineer (C#)
Blend 是一家领先的 AI 服务提供商，致力于通过数据科学、AI、技术和人才的合力为客户创造有意义的影响。公司使命是激发大胆的愿景，通过将人类专业知识与人工智能无缝结合来解决重大挑战。公司通过汇聚世界级的人才和数据驱动的战略，为客户提供价值并推动创新。我们相信，人与 AI 的力量可以对你的世界产生深远影响，为我们的员工和客户创造更有意义的工作和项目。更多信息请访问 www.blend360.com
我们正在寻找一名高级软件工程师，为公司的下一阶段增长和扩展做出贡献。
这个职位是怎样的？
这是一个混合角色，软件开发和内部开发者赋能各占一半。该工程师将通过减少开发周期中的摩擦、提供明确且有观点的指导以及改进内部工具，成为工程团队的倍增器。
- 作为全栈软件开发人员参与工程计划，交付高质量的功能和产品。
- 按照标准工程流程（PR、代码审查、CI/测试）编写、审查、测试和维护干净、可靠且可扩展的代码。
- 通过回答工程生态系统中的专业性、上下文相关问题（工具、库、标准和模式），为内部开发者提供支持。
- 指导工程师设置本地开发环境、Unix/Bash 工作流和日常工具使用。
- 就内部工具和框架向团队提供建议，清晰解释技术权衡并推荐最佳前进路径。
- 识别重复性的摩擦点，并通过脚本、模板和改进的工具自动化工作流程。
- 与团队合作，将 AI 知识嵌入到公司的 AI 编码工具（如 Claude）中，实现更智能的开发者体验。
- 使用 Terraform 参与基础设施即代码和内部平台工作，特别是在基于 AWS 的环境中。
- 根据用例和组织标准，帮助团队做出身份/安全框架决策（如 Okta、Auth0）。
- 在模糊的环境中有效运作，当文档或标准尚未存在时建立清晰度。
- 5–6 年的专业软件工程经验，具备扎实的基础知识，并有信心提供明确的观点
查看英文原文
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Senior Software Engineer to contribute to our next level of growth and expansion.
What is this position about?
This is a hybrid role split evenly between hands-on software development and internal developer enablement. The engineer will act as a force multiplier for engineering teams by reducing friction across the development lifecycle, providing clear and opinionated guidance, and improving internal tooling.
- Contribute to engineering initiatives as a full software developer, delivering production-quality features and services.
- Write, review, test, and maintain clean, reliable, and scalable code following standard engineering workflows (PRs, code reviews, CI/testing).
- Provide internal developer support by answering specialized, contextual questions across the engineering ecosystem (tooling, libraries, standards, and patterns).
- Guide engineers on local development environment setup, Unix/Bash workflows, and day-to-day tooling usage.
- Advise teams on internal tools and frameworks, clearly explaining technical trade-offs and recommending best paths forward.
- Identify repetitive friction points and automate workflows through scripts, templates, and improved tooling.
- Partner with the team to embed AI know-how into the company’s AI coding tools (e.g., Claude) and enable smarter developer experiences.
- Contribute to infrastructure-as-code and internal platform efforts using Terraform, especially in AWS-based environments.
- Help teams make identity/security framework decisions (e.g., Okta, Auth0) based on use case and organizational standards.
- Operate effectively in ambiguous environments, establishing clarity where documentation or standards don’t yet exist.
- 5–6 years of professional software engineering experience, with strong fundamentals and the confidence to provide clear, opinionated guidance.
- Strong proficiency in .NET, with the flexibility to work in languages outside their core stack when the work requires it.
- Strong software design and architecture skills: able to structure solutions, weigh trade-offs, and explain the reasoning behind design decisions.
- Strong focus on testing as part of the development workflow, not as an afterthought.
- Demonstrated ability to act as an internal consultant: diagnose problems quickly, communicate trade-offs, and recommend solutions.
- Strong communication skills (written and verbal), with a coaching/mentoring mindset.
- Positive, collaborative attitude: open to feedback, comfortable being challenged, and willing to help others.
- Proactive and independent: naturally seeks opportunities to improve, automate, and simplify.
- Comfortable switching between deep technical work and developer support without losing momentum.
- Nice to Have
- Exposure to AWS architecture, but not required to be an AWS expert (dedicated architecture expertise exists within the team).
- What about languages?
- You will need excellent written and verbal English for clear and effective communication with the team.
- How much experience must I have?
- In order to thrive in this role, you must have at least 5+ years of experience in data engineering or similar roles.
Our Perks and Benefits
📚Learning Opportunities:
· Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
· Access to AI learning paths to stay up to date with the latest technologies.
· Study plans, courses, and additional certifications tailored to your role.
· Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
· English lessons to support your professional communication.
👨🏽💻Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
· Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
· Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
· Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!