Kubernetes Engineer

The Platform Engineering organization at IMC Trading is focused on accelerating tech team workflows through providing self-service tools, services, documentation, and support. Platform Engineering is responsible for designing, building, and maintaining the underlying runtime platforms that IMC’s software applications depend on. The mission is to streamline development processes, establish a consistent technical foundation across regions, and empower teams with the necessary resources to innovate efficiently. Platform Engineering is a global team and acts as a bridge between the technical requirements of application development and the practical aspects of deploying and maintaining those applications in a production environment, minimizing friction, and ensuring that tech teams can operate seamlessly and drive progress forward. Your Core Responsibilities: Design, implement, and manage on-premises Kubernetes clusters to ensure high availability and performance Deploy and manage containerized applications on Kubernetes using internal tooling Collaborate with internal teams to design and implement CI/CD pipelines tailored to on-premises environments Monitor, troubleshoot, and optimize Kubernetes clusters for peak performance and reliability Implement security best practices for on-premises Kubernetes environments, including RBAC, network policies, and secrets management Develop automation scripts to manage infrastructure components, ensuring consistent environments across clusters Maintain and optimize storage and networking configurations to support Kubernetes clusters Manage cluster upgrades, backups, and disaster recovery plans to ensure resilience Stay updated with the latest Kubernetes developments and on-premises infrastructure best practices, applying relevant updates to our environment Your Skills & Experience: 3+ years of proven experience with Kubernetes, particularly in on-premises environments Strong knowledge of containerization and orchestration technologies Experience with CI/CD pipeline design and implementation Solid understanding of security best practices in Kubernetes environments Proficiency in automation scripting (e.g., Bash, Python, etc.) Familiarity with storage and networking concepts related to Kubernetes Ability to troubleshoot and resolve complex issues in a timely manner Excellent collaboration and communication skills. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance.Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $200,000 - $225,000 USD About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage. IMC is an equal opportunity employer. IMC prohibits discrimination of any type and affords equal employment opportunities to applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity and expression, national origin, age, disability, military or veteran status, status as a victim of domestic violence, and/or any other categories protected by applicable federal, state or local law. Completion of this section is voluntary and will not affect your opportunity for employment or the terms or conditions of your employment. The data collected from these questions will be stored separately from your individual application and will be kept confidential. #J-18808-Ljbffr