- Senior Software Engineer – Quant Full Stack & I...
Senior Software Engineer – Quant Full Stack & Infrastructure (Team Lead)
Trireme
Posted 1 day ago
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Full Job Description
About the Role:
We are seeking a highly experiencedand versatile Senior Software Engineer with deep expertiseacross quantitative development, infrastructure engineering, andfull-stack development , to join and lead a high-performance team.The ideal candidate thrives at the intersection of finance andtechnology, has led engineering teams, and has built and maintainedrobust trading systems and developer tooling across cloud-nativearchitectures.
Location:
London |Dubai | Hybrid (Subject to Candidate)
KeyResponsibilities:
- Lead architecture, design, anddevelopment of scalable trading platforms and internal developertools.
- Collaborate with quantresearchers, traders, and infrastructure teams to deliver performantsolutions.
- Maintain and optimizetrading infrastructure (low-latency systems, data pipelines,monitoring, etc.).
- Manage a team ofsoftware engineers, mentor junior developers, and drive best practicesacross the stack.
- Ensure high codequality through code reviews, CI/CD, test automation, and Git-basedworkflows.
- Design andimplement microservices and APIs for internal tools and externalintegrations.
- Work with data at scale(market data ingestion, real-time analytics, historical storage).
Required Skills & Experience:
Core Engineering:
- 5+ years of experience insoftware development, with exposure to both backend and frontendstacks.
- Strong programming proficiencyin Python , C++ , and Java (Quant/Trading gradecodebases).
- Expertise in modern webdevelopment with React , Node.js , MongoDB , andSQL (Postgres, MySQL) .
- Strongunderstanding of Git/GitHub , CI/CD workflows, code branchingstrategies, and code ownership.
- Priorwork in a fintech, hedge fund, or proprietary trading firmenvironment. Crypto-native a plus
Infrastructure & DevOps:
- Productionexperience with Kubernetes and cloud-native deploymentstrategies.
- Hands-on with AWS ,GCP , and Azure for compute, networking, and storageconfigurations.
- Familiarity withmonitoring/logging tools (e.g., Prometheus, Grafana, ELK stack).
Trading Systems & Finance:
- Solid understanding of trading infrastructure ,latency optimization , execution systems , and marketdata feeds .
- Experience working inor with quantitative research, HFT, or hedge fund teams ishighly desirable.
Leadership:
- Proven experience managing and mentoring a team of 3–10engineers.
- Ability to translatebusiness and research needs into engineering roadmaps.
- Collaborative mindset, capable of interfacingwith multi-disciplinary teams.
Nice toHave:
- Experience with Redis, Kafka, or similarreal-time streaming/data platforms.
- Familiarity with financial APIs, FIX protocol, or tradingexchange 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.
- Opportunityto work on cutting-edge financial systems with high-impact teams.
- Tech-forward culture with strongengineering autonomy.