Software Engineer, Automated Trading - Dubai, UAE

Employment Type: Full-time & Permanent 

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)  

Annual Base Salary: range of $80,000 - $120,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme.

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday – Friday

Probation Period: 3 to 6 Months (as per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law

About Cobblestone Energy 

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values 

• Excellence in Hiring & Teamwork 
• Lifelong Learning Through Continuous Reflection 
• Independent Thinking Through a Meritocracy of Ideas 
• Winning

Job Description  

We are looking for an Exceptional Software Engineer to join our automated trading team, focused on building and optimizing high-performance automated trading systems and supporting infrastructure. In this role, you will collaborate closely with traders and infrastructure specialists to develop robust, scalable, and innovative solutions that directly impact our firm's trading operations. 

What we offer in this role   

• Competitive remuneration with rapid progression for strong performers.  
• Leadership opportunities on impactful technical initiatives.  
• Participation in the employee share scheme.  
• Internation relocation support.  
• Exposure to the commercial side of the business.  
• A highly collaborative and open working culture. 

Requirements 

• BS/BE in Computer Science, Software Engineering, or a related discipline 
• 2 to 5 years of hands-on software development experience in C#, C++ or Python 
• Proven experience building or contributing to trading systems with an understanding of orderbook structure, own order management and trade execution 
• Strong understanding of database design and system architecture for low latency systems 
• Ability to lead discussions, make sound architectural decisions, and deliver results 
• Strong communication skills and a collaborative mindset 
• Resilient, self-driven and aligned with Cobblestone's values 

Responsibilities 

• Design, develop, and optimize high-performance automated trading and infrastructure systems. 
• Collaborate closely with traders and infrastructure teams to deliver solutions supporting trading strategies. 
• Develop robust, scalable software components to manage real-time market data pipelines, automated order execution, and risk management processes. 
• Ensure system reliability through automated testing, code reviews, and continuous integration and deployment practices. 
• Monitor and improve system performance, latency, and throughput in a fast-paced trading environment. 
• Investigate and resolve complex technical issues in production systems swiftly and accurately. 
• Maintain comprehensive documentation of software systems and processes to facilitate knowledge sharing and system support. 
• Participate in regular code reviews and adhere to established coding standards and best practices. 
• Contribute to continuous innovation through researching new technologies and tools to enhance the trading platform. 
• Mentor and support junior engineers. 

Learn more about Cobblestone Energy careers:
https://cobblestoneenergy.com/careers/

Why work with us:
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process:
https://cobblestoneenergy.com/careers/vacancies/#process