Software Engineer - Infrastructure Team

Selby Jennings·Mid-level·On-site · Paris

Posted Oct 6, 2026·selbyjennings.com

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Software Engineer - Infrastructure Team

Selby Jennings·Mid-level·On-site · Paris

Posted Oct 6, 2026·selbyjennings.com

Back to jobs

Software Engineer - Infrastructure Team

Selby Jennings·Mid-level·On-site · Paris

Posted Oct 6, 2026·selbyjennings.com

Back to jobs

Software Engineer - Infrastructure Team

Selby Jennings·Mid-level·On-site · Paris

Posted Oct 6, 2026·selbyjennings.com

About the job

A leading global quantitative and systematic investment manager is seeking a software engineer to join its Infrastructure Team, responsible for the ingestion, processing, and distribution of large-scale datasets. Data sits at the core of the business, supporting research and trading activities across multiple asset classes worldwide.

This role offers the opportunity to work on highly demanding distributed systems and cutting-edge infrastructure challenges, including real-time pub/sub architectures, sharded databases, and large-scale data processing platforms.

Responsibilities

Design, review, and implement scalable services and client applications.
Contribute to and promote engineering best practices, including code reviews, design reviews, testing, and performance optimisation.
Collaborate closely with stakeholders to understand business and technical requirements.
Investigate, troubleshoot, and resolve production issues to ensure system reliability and robustness.

Requirements

Strong knowledge of algorithms, data structures, and system design.
Proficiency in Rust is mandatory.
Experience building high-performance systems involving multithreading, caching strategies, asynchronous I/O, and low-latency processing.
Understanding of distributed data technologies and the trade-offs involved in systems such as Kafka, Elasticsearch, BigTable, Cassandra etc...

The Opportunity

You will work within a highly technical and collaborative environment where technology, data, and research drive investment decisions. The team tackles complex engineering problems at scale and continually pushes the boundaries of data infrastructure and distributed systems.

Apply

About the job

A leading global quantitative and systematic investment manager is seeking a software engineer to join its Infrastructure Team, responsible for the ingestion, processing, and distribution of large-scale datasets. Data sits at the core of the business, supporting research and trading activities across multiple asset classes worldwide.

This role offers the opportunity to work on highly demanding distributed systems and cutting-edge infrastructure challenges, including real-time pub/sub architectures, sharded databases, and large-scale data processing platforms.

Responsibilities

Design, review, and implement scalable services and client applications.
Contribute to and promote engineering best practices, including code reviews, design reviews, testing, and performance optimisation.
Collaborate closely with stakeholders to understand business and technical requirements.
Investigate, troubleshoot, and resolve production issues to ensure system reliability and robustness.

Requirements

Strong knowledge of algorithms, data structures, and system design.
Proficiency in Rust is mandatory.
Experience building high-performance systems involving multithreading, caching strategies, asynchronous I/O, and low-latency processing.
Understanding of distributed data technologies and the trade-offs involved in systems such as Kafka, Elasticsearch, BigTable, Cassandra etc...

The Opportunity

You will work within a highly technical and collaborative environment where technology, data, and research drive investment decisions. The team tackles complex engineering problems at scale and continually pushes the boundaries of data infrastructure and distributed systems.

Apply

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