Kubernetes Engineer
IMC is hiring a Kubernetes Engineer in Chicago, United States. It pays $200k-$225k a year and Level rates it ; you can apply on IMC.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Kubernetes, Bash and Python among its tools and skills.
- Level classes it as a mid-level role.
- IMC has 167 other open roles on Level.
AI in this role
Design and manage on-premises Kubernetes clusters and containerized applications to support developer workflows.
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 USDAbout 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.
How we rate this
Kubernetes Engineer at IMC rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Platform Engineering, DevOps, CI/CD, Infrastructure, and Kubernetes. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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