Systems Engineer I - ESP (Tue - Sat)
CME Group is seeking passionate and talented entry-level engineers. Our entry-level positions may appeal to recent graduates or applicants with circa 12 months post graduation experience. This is a unique chance to launch your career in technology and help build, run, and scale the systems that power the world’s leading derivatives marketplace. Join the Enterprise Systems Platform (ESP) team, the compute engine powering CME Group's global futures and options trading ecosystem. What You'll Get
- A supportive environment fostering career progression, continuous learning, and an inclusive culture.
- Broad exposure to CME's diverse technology, products and cross-functional teams.
- A competitive salary and comprehensive benefits package. Learn more about our career opportunities here .
- Collaborate closely with SREs, Systems Engineers, and Product teams to diagnose, maintain, and optimize our core markets technology platforms.
- Enhance observability by working with stakeholders to refine metrics, alerting, and logging (Splunk, Grafana), enabling faster incident resolution and data-driven business decisions.
- Drive incident response and on-call rotation, owning and resolving escalated issues across distributed computing architectures (client-server, cloud, hardware & virtualization).
- Lead the delivery of moderately complex incidents, problems and changes, ensuring high quality and minimal market impact.
- Present technical solutions and approaches, leading discussions for your assigned work streams.
- Support the critical migration of markets applications and infrastructure to Google Cloud Platform (GCP).
- Automate operational tasks and system provisioning using Infrastructure as Code (IaC) principles to boost system scalability and resilience.
- Familiarity with Linux/Unix environments.
- Apply strong problem-solving and analytical abilities to complex technical scenarios.
- Exhibit excellent communication and collaboration skills, working effectively across diverse technical and business teams.
- Possess foundational knowledge working with distributed systems and their unique failure modes.
- Any proficiently using languages like Python, Bash, or equivalent for automation and process improvement would be great.
- Show an eagerness to learn and adapt quickly in a demanding, fast-paced trading environment.
- Experience with containerization technologies like Docker and Kubernetes (K8s) or cloud platforms such as GCP (GKE, GCE).
- Familiarity with fundamental networking concepts ( TCP/UDP/IP).