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

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.