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

ZipRecruiter; London; Hybrid; GBP 70,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Senior Software Engineer with expertise in quantitative development and infrastructure engineering. This role involves leading a high-performance team to design and develop scalable trading platforms and internal tools. The ideal candidate will thrive at the intersection of finance and technology, managing a team while ensuring high code quality through CI/CD and best practices. With a focus on cloud architectures and low-latency systems, this position offers the opportunity to work on cutting-edge financial systems. Join a tech-forward culture that values engineering autonomy and collaboration.

Benefits

Competitive compensation

Performance-based bonuses

Opportunity to work on cutting-edge financial systems

Tech-forward culture

Strong engineering autonomy

Qualifications

• 5+ years of experience in software development with backend and frontend stacks.
• Proven experience managing and mentoring a team of engineers.
• Solid understanding of trading infrastructure and latency optimization.

Responsibilities

• Lead architecture and development of scalable trading platforms.
• Collaborate with quant researchers and traders for performant solutions.
• Maintain and optimize trading infrastructure and data pipelines.

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

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- 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- a plus

Infrastructure & DevOps:

• Production experience with Kubernetes and cloud- 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.