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
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $168k
$109k most similar roles pay here $279k

This role pays less than 83% of similar roles. Most pay $184,975–$247,112 — the shaded band above. At the midpoint, this role pays about $168k versus about $216k 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 8 open roles on FindRole.

Listed pay typically runs $128,950–$214,850 across 8 roles with salary data.

Most-posted roles

View all roles at CME Group

At a glance

TL;DR · Staff Agentic Software Engineer

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, where you will build and maintain shared agent infrastructure, including codebase indexing pipelines, MCP server integrations, and automated test suites to validate AI-generated code. You will architect high-volume, low-latency Java applications on Google Cloud Platform while managing requirements for ultra-high availability and thread safety. The role requires expert proficiency in Java, Spring, Python, SQL, and Postgres, alongside experience with GCP services like GKE and Pub/Sub, and messaging frameworks like Kafka and Flink. You will utilize tools such as Gemini CLI, Antigravity, and Cursor to develop high-performance systems within the financial risk management and clearing domain.

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, deploying, and maintaining scalable real-time systems across the full stack.
  • Expert-level proficiency in Java and the Spring framework.
  • Deep experience designing and debugging multi-threaded concurrent applications, including lock-free data structures and memory management.
  • Hands-on experience with AI coding agents such as Gemini CLI, Claude Code, or Codex in production workflows.
  • Experience with Google Cloud Platform (GCP) services and real-time messaging frameworks like Kafka, MQ, or Flink.
  • Proficiency in SQL, Postgres, and Python for scripting, automated evaluations, and tool integration.
  • Experience with distributed tracing, SLO/SLI monitoring, and chaos engineering in high-stakes production environments.

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