Apps Dev Senior Engineer

Citigroup; Greater London; Sur place; GBP 120 000 - 180 000; Plein temps

Résumé du poste

Citigroup is seeking a Senior Software Engineer to join the Commodities Technology team in London. You will architect and build scalable, low-latency market data pipelines, APIs, and real-time distribution services across commodities and cross-asset touchpoints, partnering with traders and quants.

The role emphasizes front-office collaboration, modern engineering practices, and exploration of Generative AI workflows within the development lifecycle. London-based, full-time role.

Qualifications

• Bachelor's degree in a relevant field; strong x-Functional software engineering background.
• Experience in Tier-1 banks or large financial institutions is preferred.
• Proven ability to design and deliver low-latency, high-throughput market data services.

Responsabilités

• Architect and implement scalable market data engines and real-time distribution services.
• Collaborate with Front Office traders and MQAs to translate trading requirements into production software.
• Lead with TDD, CI/CD, containerization, and observability to ensure robust production systems.
• Drive integration of Generative AI and Agentic AI workflows into development and trading lifecycles.

Connaissances

Java

Python

.NET/C#

Low-latency

Distributed Systems

DevOps

AI Tooling

Formation

Bachelor's degree

Master's degree preferred

Outils

Git

Docker/Kubernetes

CI/CD

Linux

Kafka

Description du poste

We are seeking an exceptional, high-caliber Senior Software Engineer / Developer to join our Commodities Technology team based in London . Sitting at the intersection of quantitative and high-performance software engineering, this role is dedicated to delivering mission-critical market data infrastructure, services, and analytics feeds for our global Commodities trading desks.

As a senior individual contributor in a front-office environment, you will drive the architecture, design, and implementation of robust, low-latency market data pipelines and services across Commodities asset classes (Energy, Metals, Agriculture) with cross-asset touchpoints in FX, Rates, and Equities. You will partner directly with Front Office Traders, Model Quantitative Analysis (MQA / Quants), Market Risk, and Operations teams to build scalable solutions and integrate next-generation Generative AI and Agentic AI workflows into the development and trading lifecycle.

Key Responsibilities

1. System Engineering & Architecture

   Architect, build, and optimize scalable, resilient, and high-throughput market data engines, curve builders, pricing integration layers, and real-time distribution services.

   Design and implement clean, modular APIs and event-driven architectures leveraging modern design patterns across Java, Python, or .NET (C#) ecosystems.

   Ensure ultra-reliable delivery of tick, end-of-day, and historical market data feeds to quantitative pricing libraries and trading applications.

2. Front Office & Desk Alignment

   Act as a direct technical partner to Front Office trading desks, understanding business drivers and rapidly translating complex trading/pricing requirements into production-ready software.

   Collaborate closely with MQA (Quantitative Analysts) to integrate pricing models, risk calculators, and real-time analytics.

3. AI & Innovation Driver

   Champion the adoption of Generative AI and Agentic AI frameworks within the software development lifecycle (e.g., automated code reviews, synthesis, workflow orchestration, agent-driven monitoring/troubleshooting).

   Prototype and evaluate agentic workflows for automated anomaly detection, market data quality validation, and intelligent developer tooling.

4. Technical Leadership & Excellence

   Drive engineering best practices: test-driven development (TDD), CI/CD pipelines, containerization, comprehensive observability, and low-latency performance tuning.

   Take end-to-end ownership of delivery-from requirement analysis and technical design to deployment, production monitoring, and support.

Required Skills & Qualifications

Technical Competencies

• Core Programming: Advanced proficiency in at least one primary backend language: Java (Modern Java, Spring Boot, concurrency, low-latency tuning, GC optimization), OR Python (Modern Python, asynchronous programming, NumPy/Pandas, FastAPI), OR .NET / C# (Modern .NET Core, multi-threading, asynchronous I/O, memory profiling).

• Distributed Systems & Messaging: Strong experience with enterprise messaging and streaming frameworks (e.g., Apache Kafka, RabbitMQ, Solace, ZeroMQ, or gRPC).

• Data Storage & Analytics: Proficiency in relational databases (PostgreSQL, Oracle, SQL Server) and time-series/caching technologies (e.g., Redis, InfluxDB, KDB+/q, or similar).

• Modern DevOps & Cloud: Practical experience with Git, CI/CD automation (e.g., GitHub , Tekton, Jenkins), Docker/Kubernetes/OpenShift, and Linux operating systems.

• AI Tooling & Automation: Demonstrated familiarity with LLMs, GenAI tools, and Agentic frameworks (e.g., LangChain, LlamaIndex, MCP tools, automated coding agents) applied to engineering productivity or domain solutions.

Domain & Industry Experience

• Financial Services Experience: Proven track record working within a Tier-1 investment bank, hedge fund, or major financial institution.

• Asset Class Expertise: Strong domain knowledge in Commodities (Power, Gas, Oil, Metals, Agriculture) or adjacent cross-asset products ( FX, Rates, Equities ).

• Market Data Fundamentals: Understanding of real-time market data structures, tick data, exchange connectivity, forward curves, volatilities, and reference data feeds.

Mindset & Behavioral Attributes

• Self-Driven & High Ownership: A true "go-getter" who takes proactive ownership of complex engineering problems with minimal supervision.

• Stakeholder Management: Exceptional communication skills with the ability to converse fluently with traders, MQA, risk managers, and technology leaders.

• Problem-Solving & Agility: Comfortable operating in a fast-paced, high-stakes Front Office environment where requirements evolve rapidly.

Education: Bachelor's degree/University degree or equivalent experienceMaster's degree preferred

What we can offer you

We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.

By joining Citi London, you will not only be part of a bu