Senior Software Engineer – Quant Full Stack & Infrastructure (Team Lead)

JR United Kingdom; Reading; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A leading company in the financial technology sector is seeking a Senior Software Engineer to lead the development of innovative trading systems and tools. The ideal candidate will possess a strong background in software engineering, experience with full-stack development, and a proven ability to manage high-performance teams. This position offers competitive compensation and the opportunity to work on cutting-edge projects in a tech-forward environment.

Benefits

Competitive compensation + performance-based bonuses

Opportunity to work on cutting-edge financial systems

Strong engineering autonomy

Qualifications

• 5+ years of experience in software development with backend and frontend stacks.
• Proficiency in Python, C++, and Java for quant/trading systems.
• Experience leading engineering teams and managing projects.

Responsibilities

• Lead architecture and development of scalable trading platforms.
• Collaborate with quant researchers and manage a team of software engineers.
• Maintain and optimize trading infrastructure and implement microservices.

Skills

Python

C++

Java

React

Node.js

MongoDB

SQL

Kubernetes

AWS

GCP

Azure

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science

Tools

Docker

Prometheus

Grafana

ELK stack

Job description

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Senior Software Engineer – Quant Full Stack & Infrastructure (Team Lead), reading

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Client:

Trireme

Location:

reading, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

About the Role:

We are seeking a highly experienced and versatile Senior Software Engineer with deep expertise across quantitative development, infrastructure engineering, and full-stack development, to join and lead a high-performance team. The ideal candidate thrives at the intersection of finance and technology, has led engineering teams, and has built and maintained robust trading systems and developer tooling across cloud-native architectures.

Location:

London | Dubai | Hybrid (Subject to Candidate)

Key Responsibilities:

• Lead architecture, design, and development of scalable trading platforms and internal developer tools.
• Collaborate with quant researchers, traders, and infrastructure teams to deliver performant solutions.
• Maintain and optimize trading infrastructure (low-latency systems, data pipelines, monitoring, etc.).
• Manage a team of software engineers, mentor junior developers, and drive best practices across the stack.
• Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows.
• Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes).
• Design and implement microservices and APIs for internal tools and external integrations.
• Work with data at scale (market data ingestion, real-time analytics, historical storage).

Required Skills & Experience:

Core Engineering:

• 5+ years of experience in software development, with exposure to both backend and frontend stacks.
• Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases).
• Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL).
• Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership.
• Prior work in a fintech, hedge fund, or proprietary trading firm environment. Crypto-native a plus

Infrastructure & DevOps:

• Production experience with Kubernetes and cloud-native deployment strategies.
• Hands-on with AWS, GCP, and Azure for compute, networking, and storage configurations.
• Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack).

Trading Systems & Finance:

• Solid understanding of trading infrastructure, latency optimization, execution systems, and market data feeds.
• Experience working in or with quantitative research, HFT, or hedge fund teams is highly desirable.

Leadership:

• Proven experience managing and mentoring a team of 3–10 engineers.
• Ability to translate business and research needs into engineering roadmaps.
• Collaborative mindset, capable of interfacing with multi-disciplinary teams.

Nice to Have:

• Experience with Redis, Kafka, or similar real-time streaming/data platforms.
• Familiarity with financial APIs, FIX protocol, or trading exchange integrations.

Education:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

What We Offer:

• Competitive compensation + performance-based bonuses.
• Opportunity to work on cutting-edge financial systems with high-impact teams.
• Tech-forward culture with strong engineering autonomy.