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Software Developer – Market Systems (SOC 2136)

Creative Colab AI

Glasgow

On-site

GBP 40,000 - 80,000

Full time

3 days ago

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Job summary

An innovative firm is seeking a Software Developer to join their team in Glasgow. In this exciting role, you will engineer real-time systems for an AI-based market prediction platform, focusing on low-latency services and multi-agent simulation integration. Collaborating with data scientists and engineers, you'll build robust systems that analyze financial microstructure data. This position offers a unique opportunity to contribute to cutting-edge technology in the financial sector, where your work will directly impact predictive insights for trading desks and institutional analysts. If you are passionate about technology and eager to make a difference, this role is perfect for you.

Qualifications

Proficiency in Python or Go for systems-level programming.
Experience with AWS services for cloud-native applications.
Familiarity with event-driven architecture and time-series data.

Responsibilities

Develop scalable applications for real-time data capture.
Implement data ingestion pipelines for financial tick data.
Optimize performance for microservices processing time-sensitive data.

Skills

Python

AWS

API Development

Time-Series Data

Education

Degree in Computer Science

Degree in Engineering

Degree in Physics

Tools

Docker

Kubernetes

GitHub Actions

Software Developer – Market Systems (SOC 2136)

4 days ago Be among the first 25 applicants

Direct message the job poster from Creative Colab AI

As a Software Developer working on our AI-based market prediction platform, you will engineer real-time systems that ingest, transform, and analyze streaming financial microstructure data. This is a deeply technical role focused on low-latency services , multi-agent simulation integration , and signal generation pipelines . Inspired by ecological systems, our infrastructure is designed to evolve and react to volatility — your work will help power predictive insights used by quantitative trading desks and institutional analysts.

You will work alongside data scientists, domain experts, and front-end engineers to build systems that are robust, explainable, and deployable in live environments.

Key Responsibilities

Develop scalable, cloud-native applications using Python or Go for real-time data capture and analysis.

Implement data ingestion pipelines for financial tick data (e.g., via WebSocket, Kafka, FIX protocol).

Build API endpoints for internal services that expose prediction signals, market state transitions, and volatility clusters.

Optimize memory and compute performance for microservices that process time-sensitive data.

Collaborate with ML engineers to deploy models via RESTful or gRPC interfaces.

Write integration and unit tests, and maintain CI/CD workflows using GitHub Actions or similar tools.

Document architectural decisions and codebase changes for auditability and model governance.

Essential Criteria

Proficiency in Python, Go, or another systems-level language.

Experience building production services using AWS (Lambda, EC2, SQS, DynamoDB, etc.).

Familiarity with time-series data and event-driven architecture.

Strong understanding of API versioning, authentication, and rate-limiting.

Degree in Computer Science, Engineering, Physics, or a closely related field.

Desirable Criteria

Knowledge of financial market protocols and structures (e.g., order book, VWAP, iceberg detection).

Experience with container orchestration (Docker, ECS, Kubernetes).

Familiarity with agent-based modeling or biologically inspired algorithms.

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Technology, Information and Internet

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