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Software Developer - Data Infrastructure

Job in City Of London, Central London, Greater London, England, UK
Listing for: SQUAREPOINT CAPITAL
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    Software Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below

Position Overview:

The Data Infrastructure team manages the service-oriented data storage infrastructure for the firm. We implement microservices that provide high performance solutions to access large data sets required in trading and research. We are looking for an experienced Software Developer with a strong background in C++ to join our team. In this role, you will be responsible for designing, developing, and maintaining the data infrastructure components that support our data processing and analytics pipelines.

You will work closely with data engineers, data scientists, quantitative researchers and other stakeholders to ensure efficient and reliable data retrieval, processing and storage.

Design, develop, and maintain data infrastructure microservices using C++ to process and analyze large data sets Optimize microservices for performance and scalability, ensuring efficient data processing

Debug and troubleshoot software issues, providing timely resolutions

Stay up-to-date with industry
trends and advancements in C++ programming and data engineering technologies

Write clean, maintainable, and efficient code, following coding best practices and standards

Participate in code reviews to ensure code quality and consistency

Collaborate with support teams to ensure smooth deployment and operation of microservices

Contribute to the overall software architecture and design of data processing and analytics pipelines

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, or related subject4+ years of professional software engineering experience

Proficiency in C++Experience working on microservices and/or asynchronous multithreaded applications

Ability to work in a fast-paced, deadline-driven environment.

Strong problem-solving and debugging skills

Experience working in a Linux environment

Excellent communication skills, comfortable interacting directly with stakeholders

Willingness to pick up and learn new technologies and frameworks

Nice to have:

Knowledge of databases,
SQL Familiarity with Boost ASIOFamiliarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flat buffers

Experience with gRPC, and Websocket protocols

Experience with Google Cloud/AWS and/or containerization in Docker/Kubernetes

Experience with highly available distributed systems and working with large datasets

Experience with other programming languages such as Rust, Python and Q is a plus

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