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

JR United Kingdom

Aberdeen City

On-site

GBP 65,000 - 90,000

Full time

8 days ago

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Job summary

A leading financial technology firm in Aberdeen seeks a Senior Software Engineer to lead their Quant Full Stack & Infrastructure team. Candidates should have expertise in software and infrastructure engineering, and experience in managing teams, delivering financial systems, and optimizing trading platforms. This role offers competitive pay, performance bonuses, and the opportunity to innovate in a tech-forward culture.

Benefits

Competitive compensation
Performance-based bonuses
Opportunities with cutting-edge financial systems
Tech-forward culture

Qualifications

  • 5+ years of experience in software development.
  • Strong proficiency in Python, C++, and Java.
  • Knowledge of Kubernetes and cloud deployment strategies.
  • Experience with Git/GitHub and CI/CD workflows.

Responsibilities

  • Lead architecture and development of trading platforms.
  • Optimize trading infrastructure for performance.
  • Mentor and manage a team of software engineers.
  • Design and implement microservices and APIs.

Skills

Python
C++
Java
React
Node.js
MongoDB
SQL
Kubernetes
AWS
GCP
Azure
Git

Education

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

Tools

Prometheus
Grafana
ELK stack

Job description

Social network you want to login/join with:

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

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Client:

Trireme

Location:
Job Category:

Other

-

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.
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