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

JR United Kingdom; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Software Engineer to lead a high-performance team in developing cutting-edge trading systems. This role combines quantitative development, infrastructure engineering, and full-stack development, providing an exciting opportunity to work at the intersection of finance and technology. The ideal candidate will have extensive experience in building robust trading systems and developer tooling, as well as a collaborative mindset to work with diverse teams. Join a tech-forward culture that values engineering autonomy and offers competitive compensation along with performance-based bonuses.

Benefits

Competitive compensation

Performance-based bonuses

Opportunity to work on cutting-edge financial systems

Tech-forward culture

Strong engineering autonomy

Qualifications

• 5+ years of software development experience with backend and frontend stacks.
• Strong programming skills in Python, C++, and Java for trading systems.
• Experience managing and mentoring engineering teams.

Responsibilities

• Lead the design and development of scalable trading platforms.
• Collaborate with quant researchers and traders for optimal solutions.
• Manage a team of software engineers and ensure code quality.

Skills

Python

C++

Java

React

Node.js

MongoDB

SQL (Postgres, MySQL)

Git/GitHub

Kubernetes

AWS

GCP

Azure

Education

Bachelor’s degree in Computer Science

Master’s degree in Engineering

Tools

Docker

Prometheus

Grafana

ELK stack

Redis

Kafka

Job description

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

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Client:

Trireme

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

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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.