Hiring: Staff Agentic Software Engineer Company: CME Group Location: Chicago, IL Job Posted Time: 2026-09-16 12:56:02 Target Skills & Keywords : BigQuery, CI/CD, Cloud Run, Derivatives, Fine-tuning, Flink, GCP, Java, Kafka, LLM, PostgreSQL, Pub/Sub, Python, Risk Management, SQL, Spring About the job Experience: •8+ years of hands-on experience building, deploying, and maintaining scalable real-time systems across the full stack. Required Skills: •Lead the architecture, design, and development of high-volume, low-latency Java applications on Google Cloud Platform (GCP) for mission-critical systems, ensuring ultra-high availability, low jitter, and thread safety. •Lead the team’s shift toward agentic software engineering. Standardize toolchains, system prompts, context repositories, and agentic loops across the development lifecycle. •Build and maintain the shared agent infrastructure: repo-level agent context, MCP server integration, codebase indexing pipelines, and local developer tooling that feed deep, domain-specific context into LLM agents. •Design dynamic evaluation harnesses, automated test suites, and CI/CD guardrails specifically tailored to audit, test, and validate AI-generated code for concurrency bugs, memory leaks, and performance regressions. •Maintain and enhance high-throughput CI/CD automation pipelines to ensure seamless, secure, and reliable software delivery into production. •Mentor engineers through the workflow shift; lead hands-on workshops to train traditional software developers into proficient AI-native engineers. Qualifications: •Bachelor’s degree or higher in Computer Science, Mathematics, Financial Engineering, or a related field, with 8+ years of hands-on experience building, deploying, and maintaining scalable real-time systems across the full stack. •Expert-level proficiency in Java and the Spring framework. Deep, hands-on experience designing and debugging multi-threaded concurrent applications, lock-free data structures, memory management, thread pools, and race condition diagnostics. •Applied hands-on capability in AI coding agents (e.g. Gemini CLI, Claude Code, Codex, etc) in real production workflows: multi-step agent tasks, agent-authored PRs, agent-driven test generation. •Deep experience with Google Cloud Platform (GCP) services (GKE, Pub/Sub, BigQuery, Cloud Run, Dataflow) and real-time messaging frameworks (Kafka, MQ, Flink). •Strong proficiency in SQL, Postgres DB, and Python (for scripting, automated evals, data analysis, or tooling integration). •Daily operational fluency with CLI and terminal-based agent environments (Claude Code, Gemini CLI, Codex) as well as agentic IDEs (Cursor, Antigravity). •Direct experience configuring system context, building or integrating Model Context Protocol (MCP) servers, function calling, and structured domain-prompting. •Demonstrated success in designing property-based tests, static analysis rules, and code-review workflows specifically built to catch AI hallucinations, edge-case failures, and security vulnerabilities. •Demonstrated ability to establish team-wide AI coding norms, measure developer outcome velocity, and champion an AI-first engineering culture. •Drive architecture decisions across team boundaries and be able to articulate tradeoffs clearly to both engineers and stakeholders. Compensation: •$125,800 - $209,600 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!