Apps Dev Senior Engineer

## Apps Dev Senior Engineer Apply:
Hybrid:
London United Kingdom:
Full time:
Posted Today:
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, Num Py/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 Dev Ops & Cloud:
** Practical experience with Git, CI/CD automation (e.g., Git Hub , Tekton, Jenkins), Docker/Kubernetes/Open Shift, and Linux operating systems.
* ** AI Tooling & Automation:
** Demonstrated familiarity with LLMs, GenAI tools, and Agentic frameworks (e.g., Lang Chain, Llama Index, 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…