Senior Backend Engineer（远程职位）

这条招聘信息来自 TechBiz Global，岗位是 Senior Backend Engineer：这是高级职位，公司期待由你自己拿主意。职位属于「IT 与编程」类别，完全远程。公司不限制候选人的居住地，在任何地方都可以申请。

招聘信息里列出的主要工具是：Java、Go、AWS。简历上最好能给出正是这几项能力的具体例子。

公司没有公布具体数字，这一项会在面试时谈定。对工作时间，招聘信息没有提出任何条件。

这个职位通过了自动核查：凡是要求外国工作许可、签证担保、特定国籍，或者必须居住在指定国家的招聘信息，都不会进入列表。

At TechBiz Global , we provide recruitment services to our TOP clients from our portfolio. We are currently seeking a Senior Backend Engineer to join one of our clients’ teams - a Singapore-based FinTech company connecting global investors with private debt opportunities across Southeast Asia. The successful candidate will work on a Private Credit Investment Platform and Credit Analytics Platform , developing scalable solutions and working with financial and loan data. What You’ll Do

* Design and develop scalable backend solutions for the Private Credit Investment Platform.

* Build solutions to ingest, process, and analyse loan book and financial data.

* Collaborate with product managers, designers, and engineers to translate business requirements into technical solutions.

* Participate in code reviews and provide constructive feedback.

* Take ownership of technical solutions and contribute to product development.

* Manage multiple priorities and deliver high-quality results.

* Support the technical direction and continuous improvement of the platform.

Requirements What We’re Looking For

* At least 3-4 years of software development experience .

* Strong experience with Golang, Java, or a similar backend programming language .

* Experience with cloud platforms such as AWS, GCP, or Azure .

* Experience with MongoDB or other non-relational databases .

* Strong problem-solving and analytical skills.

* Good communication and teamwork skills.

* Ability to work independently and take ownership of tasks.

Nice to Have

* Previous experience in the FinTech or financial services industry .

* Strong hands-on experience with Golang and MongoDB .

* Knowledge of Apache Parquet or similar technologies.

* Experience working with data-intensive applications .

* Experience processing large financial datasets.

Originally posted on Himalayas