Backend C++ Engineer for Trading Tech

TalentVibe Business Consultancy

Jakarta Utara

On-site

IDR 279,000,000 - 558,000,000

Full time

14 days+
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Job summary

TalentVibe Business Consultancy is seeking a Backend C++ Developer to design, build, and maintain core C++ components powering sales and trading applications within a global investment bank environment.

You will work across the broader technology stack, including .NET services, Kafka pipelines, KDB+ data stores, and Python tooling, while collaborating closely with trading desks, business stakeholders, and other engineering teams to deliver reliable solutions.

Qualifications

  • 3+ years of relevant working experience.
  • Strong analytical and logical thinking skills.
  • Team player with self-motivation.
  • Degree in Computer Science or related field (nice-to-have).
  • Good understanding of AI/ML concepts and tools (nice-to-have).

Responsibilities

  • Design, develop, and maintain backend C++ components supporting sales and trading applications.
  • Work across the broader tech stack, including .NET services, Kafka messaging pipelines, KDB+ data stores, and Python tooling, as needed.
  • Analyze, troubleshoot, and resolve issues across the trading systems, applying strong logical and analytical thinking.
  • Collaborate closely with cross-functional teams, including trading desks, business stakeholders, and other engineering teams, to deliver reliable solutions.
  • Contribute across the full development lifecycle, from design and coding through testing and production support.

Skills

C++
Backend development
Analytical thinking
Team player
Communication skills

Education

Bachelor's in CS

Tools

Kafka
KDB+
.NET
Python

Job description

TalentVibe Business Consultancy is seeking a Backend C++ Developer to design, build, and maintain core C++ components powering sales and trading applications within a global investment bank environment.

You will work across the broader technology stack, including .NET services, Kafka pipelines, KDB+ data stores, and Python tooling, while collaborating closely with trading desks, business stakeholders, and other engineering teams to deliver reliable solutions.

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