Principal Software Engineer - Cititec Talent Ltd

A leading technology consultancy operating at the intersection of data, AI, and capital markets is seeking an exceptional Principal Software Engineer to join its Energy & Commodities Trading practice.

This is a senior, hands-on technical leadership role where you will design and deliver real-time, high-performance trading systems supporting critical decision-making across global trading environments.

You will work directly with senior client stakeholders (CTOs, Heads of Data, Engineering Leads) to architect scalable platforms that sit at the heart of front-to-back office trading workflows, influencing both technical direction and broader data strategy.

Key ResponsibilitiesTechnical Leadership

• Architect and deliver distributed, high-performance systems for trading environments
• Build and optimise real-time and near real-time data pipelines supporting intraday trading decisions
• Design systems integrating market data feeds, positions, P&L, risk, and back-office platforms
• Define engineering standards, architecture patterns, and coding best practices across teams
• Mentor and technically lead engineers across multiple delivery workstreams
• Partner with senior client stakeholders to shape data, AI, and platform architecture roadmaps

Trading & Client Delivery

• Lead delivery of front, middle, and back-office transformation initiatives through to production
• Act as the primary technical authority across client engagements
• Own technical relationships with senior engineering and trading stakeholders
• Translate complex trading requirements into scalable, production-grade systems
• Contribute to internal thought leadership and go-to-market capability within capital markets
• Navigate constraints including latency, resilience, regulatory compliance, and trading workflow complexity

Technical Requirements

This is a hands-on engineering role requiring deep technical execution capability alongside architectural leadership.

Core Skills

• Strong programming ability in Python, JavaScript, SQL, and at least one additional modern language
• Experience building real-time streaming systems (e.g. Kafka or equivalent)
• Proven track record designing low-latency, high-throughput distributed systems
• Experience working in environments with strict performance, scalability, and reliability requirements
• Strong cloud experience across AWS and/or Azure, including managed data services
• Deep knowledge of both:
• Transactional databases (e.g. PostgreSQL, SQL Server)
• Analytical / time-series systems (e.g. ClickHouse, MongoDB, or similar)

Nice to Have

• Kubernetes and containerised deployment environments
• Exposure to pricing, risk, or trading engine systems
• Experience working alongside quantitative or systematic trading teams
• Interest or experience in AI/ML applications in trading environments