Python Developer - Leading Investment Bank at Pinpoint Asia
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

07 Nov, 25

Salary

180000.0

Posted On

07 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Structures, Nosql, Python, Algorithms

Industry

Information Technology/IT

Description

We are looking for a hands-on Python Developer to join a high-performing engineering team at a leading financial institution. You’ll work on building scalable internal platforms, APIs, and automation tools used by global stakeholders across cybersecurity, risk, and operations.
This role is ideal for strong engineers who enjoy working across the full SDLC, writing clean, tested code, and solving complex backend or infrastructure problems with Python.

REQUIREMENTS:

  • Strong hands-on experience with Python in a production environment
  • Solid knowledge of CS fundamentals – data structures, algorithms, OOP
  • Familiarity with CI/CD tools (e.g., Git, Jenkins, TeamCity) and testing frameworks
  • Experience with at least one database (SQL, NoSQL, or graph)
  • Comfortable working in Linux environments and writing shell scripts
  • Strong communication and problem-solving skills
    If this outstanding opportunity sounds like your next career move, please submit through “Apply Now” or send your resume in Word format toCharlie Kimatresume.sg@pinpointasia.comand putPython Developer - Leading Investment Bankin the subject header.
    Data provided is for recruitment purposes only.

Responsibilities

RESPONSIBILITIES:

  • Design, develop, and maintain Python-based applications and internal tools
  • Work closely with architects and product teams to understand technical requirements
  • Build APIs, pipelines, automation scripts, and backend services
  • Follow best practices in testing, CI/CD, version control, and documentation
  • Collaborate with global engineering teams in an Agile environment
  • Debug, optimize, and enhance the performance and scalability of existing systems
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