Apps Dev Senior Engineer

Citigroup Inc.; United States; Hybrid; USD 140,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Generous holiday allowance

Bonus program

Private medical insurance

Employee Assistance Program

Pension Plan

Parental Leave

Learning and development

Job summary

Citigroup Inc. is seeking a senior individual contributor to lead the architecture, design, and deployment of robust market data pipelines across Commodities and cross-asset touchpoints.

You will partner with Front Office Traders, MQAs, Market Risk, and Operations to implement scalable, AI-enabled workflows in trading lifecycles. You will own end-to-end delivery from requirements to production monitoring, emphasizing low-latency, high-throughput data engines, modular APIs, and modern DevOps

Qualifications

• Bachelor's degree or equivalent in a related field.
• Proven experience in front-office financial services environments.
• Strong track record delivering low-latency, high-throughput systems.

Responsibilities

• Architect, build, and optimize market data engines and services.
• Design clean APIs and event-driven architectures in Java, Python, or C# ecosystems.
• Collaborate with traders, MQAs, and risk teams to deploy production solutions.
• Champion Generative AI and Agentic AI workflows in the SDLC.
• Drive CI/CD, TDD, containers, and observability for performance.

Skills

Java

Python

.NET/C#

Low-latency

Education

Bachelor's degree

Master's degree

Tools

Apache Kafka

RabbitMQ

Docker

Kubernetes

Git/Jenkins

Job description

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., 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.
• 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.
• 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.
• 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.
  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.
• 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., 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.
• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred
  Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.
  By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
• Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
• A discretional annual performance related bonus
• Private medical insurance packages to suit your personal circumstances
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources