Senior Software Engineer - Quant Full Stack & Infrastructure Team Lead

Trireme
GB - London
May 16, 2025

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.

Read the full job description and apply online on the recuiter's web-site

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