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.