Lauren Langdell

An innovative and profitable proprietary trading firm, founded in 2017, is looking for exceptional talent to join its elite global team. Operating at the forefront of high-frequency trading, this organization uses its own capital and leverages cutting-edge mathematical models and complex trading strategies—built, tested, and refined entirely in-house.The role requires working in shifts (16-hour coverage, 7 days a week) and participating in an on-call rotation to ensure the continuous operation of our trading infrastructure.Hybrid: 3 days a week in the officeResponsibilitiesMonitor and manage the real-time operation of high-frequency trading systems.Troubleshoot, resolve, and escalate system issues as needed to maintain high availability.Analyze system performance metrics (e.g., latency) using tools like Grafana, Prometheus, or equivalent solutions.Collaborate with software engineers, traders, and infrastructure teams to improve system reliability and efficiency.Automate processes and deployments to enhance operational workflows.Manage configurations using tools like Ansible and support CI/CD pipelines.Contribute to system documentation and provide feedback on process improvements.Participate in an on-call rotation to handle critical incidents outside regular hours.Show initiative in identifying areas for improvement and implementing solutions.What You BringRequired Skills & ExperienceBachelor’s degree in Engineering, Computer Science, or a related field.3–5 years of IT or software engineering experience.Strong knowledge of Python scripting for automation and tooling.Proficiency with Linux systems, including shell scripting and networking.Strong teamwork and communication skills, including clear and concise writing.Ability to think critically, make decisions under pressure, and escalate when necessary.Willingness to work shifts and adapt to the dynamic demands of HFT operations.Other SkillsExperience with monitoring tools like Grafana, Prometheus, Loki, ElasticSearch, or ClickHouse.Familiarity with configuration management tools like Ansible and CI/CD systems.Basic experience with AWS cloud services.Knowledge of distributed databases (e.g., ClickHouse).Exposure to containerization and orchestration tools like Kubernetes.Bonus AttributesExperience in high-frequency trading or other latency-sensitive distributed systems.Familiarity with incident management frameworks and best practices.What we offerThe opportunity to work in a thriving, multicultural, fun environment in one of the world’s fastest-growing industries.Corporate workations: we regularly go on corporate trips to unique locations worldwide to work, explore the local culture, and get to know each other better.Opportunities to learn cutting-edge technologies and methodologies.Competitive compensation and performance-based incentives.The chance to work with talented professionals in the HFT and crypto trading space.An attractive relocation package if needed – tickets, employment visa, Emirates ID

The RoleWe are looking for a Mid-Level Python Developer who thrives in fast-paced environments and enjoys building scalable backend systems. You’ll work on developing new microservices and improving existing ones that power key parts of our trading infrastructure. If you’ve built resilient, observable, and performant services—and enjoy writing asynchronous code and integrating with external systems—you might be a great fit.ResponsibilitiesDesign, build, and maintain Python-based microservices supporting trading operations.Develop new features for internal systems (e.g. funding rates prediction, exchange automation).Extend our exchange connectivity by adding new markets. Route/Handle data from trading across our internal systems. Troubleshoot and resolve production issues using observability tools (logs, metrics, alerts).Deploy and monitor services in a Kubernetes environment using Docker, CI/CD, and Helm.Collaborate closely with traders, C engineers, QA, and data teams to align on business needs.Required Skills & ExperienceMinimum 4-5 years of backend development experience with Python.Strong experience with asynchronous programming and parallelism in Python.Proficiency in at least one modern Python web framework (FastAPI, Django, or Flask).Experience working with relational databases (PostgreSQL preferred).Comfortable with Docker and CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc).Solid understanding of service monitoring using Sentry, Prometheus, or Grafana.Ability to diagnose and fix incidents in remote production environments.Bonus PointsExperience with Kubernetes and Helm for scalable deployments.Familiarity with Kafka, RabbitMQ, or Redis PubSub for event-driven architectures.Experience with NoSQL databases (Redis, DynamoDB, etc).Understanding of trading systems, high-volume data environments, or HFT workflows.