Staff Agentic Software Engineer

CME Group

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$125,800–$209,600 / yr
Employment
Full-time
Posted
34 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $196k
This role $168k
$109k $284k
below market most similar roles pay here above market

This role pays less than 74% of similar roles. Most pay $165,000–$226,800 — the blue band above. At the midpoint, this role pays about $168k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About CME Group

CME Group operates the world''s largest financial derivatives marketplace, offering futures and options products across interest rates, equity indexes, foreign exchange, energy, agricultural products, and metals. Industry: Financial Exchanges & Derivatives

CME Group currently has 13 open roles on FindRole.

Listed pay typically runs $125,800–$209,600 across 11 roles with salary data.

Most-posted roles

View all roles at CME Group

At a glance

TL;DR · Staff Agentic Software Engineer

The Staff Agentic Software Engineer joins a dynamic team responsible for mission-critical Real-time Positions & Risk Management Systems. This role involves leading the transition from traditional software development to an agentic engineering paradigm, balancing AI-driven velocity with strict low-latency and zero-downtime requirements for core clearing and risk management functions. You will architect and develop high-volume Java applications on Google Cloud Platform, building shared agent infrastructure, codebase indexing pipelines, and automated test suites to validate AI-generated code. Key technologies include Java, Spring, GCP (GKE, Pub/Sub, BigQuery, Cloud Run, Dataflow), Kafka, Flink, SQL, Postgres, and Python. You will utilize tools like Gemini CLI, Claude Code, and Antigravity to manage multi-step agent tasks, MCP server integrations, and domain-specific prompting while mentoring engineers on AI-native workflows.

What you'll do

  • Architect and develop high-volume, low-latency Java applications on Google Cloud Platform for mission-critical risk management systems.
  • Lead the transition from traditional software development to an agentic engineering paradigm using advanced LLM coding tools.
  • Standardize toolchains, system prompts, context repositories, and agentic loops across the entire development lifecycle.
  • Build and maintain shared infrastructure including MCP server integrations, codebase indexing pipelines, and local developer tooling.
  • Design automated test suites and CI/CD guardrails to validate AI-generated code for concurrency bugs and performance regressions.
  • Manage high-throughput CI/CD automation pipelines to ensure secure and reliable software delivery into production.
  • Mentor engineers through hands-on workshops to transition them into proficient, AI-native software developers.

What we're looking for

  • Bachelor’s degree or higher in Computer Science, Mathematics, Financial Engineering, or a related field.
  • 8+ years of experience building and maintaining scalable real-time systems across the full stack.
  • Expert-level proficiency in Java and the Spring framework.
  • Experience designing and debugging multi-threaded concurrent applications, including lock-free data structures and memory management.
  • Hands-on experience with AI coding agents (e.g., Gemini CLI, Claude Code) and agentic IDEs like Cursor or Antigravity.
  • Proficiency in Google Cloud Platform (GCP) services and real-time messaging frameworks like Kafka, MQ, or Flink.
  • Proficiency in SQL, Postgres, and Python for scripting and data analysis.
  • Experience developing software for financial risk management, high-frequency trading, or clearing systems (preferred).

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