Build, operate, and scale large-scale data storage platforms (Hadoop, S3-compatible, enterprise storage). Tune Linux for I/O performance, automate deployments with Ansible/Puppet, implement observability with Prometheus, and partner with engineers on storage- and Kafka-focused data solutions. Familiarity with Kubernetes and development in Java/Python required.
We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for someone who enjoys working close to the bare metal systems. Operating large-scale open-source storage, enterprise storage, tuning Linux systems for performance, automating infrastructure. As our data footprint grows, you will play a key part in keeping our infrastructure fast, reliable, and ready to scale.
Core Responsibilities:
Skills & Experience:
Core Responsibilities:
- Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage and S3-compatible platforms
- Tune Linux systems for I/O throughput and overall performance
- Automate configuration and deployment using Ansible, Puppet or other automation platform
- Build observability into the platform with Prometheus and related tooling
- Partner with engineering teams to deliver reliable, well-architected data solutions with a focus on Storage and Kafka
- Familiarity with Kubernetes
Skills & Experience:
- 5+ years of experience in systems engineering with a strong focus on data storage
- Strong Linux fundamentals, debugging skills, including performance tuning for I/O throughput
- Hands-on experience with Ansible and Puppet for configuration management and automation
- Familiarity with open-source, S3 API compliant, and enterprise storage technologies
- Working knowledge of the Hadoop ecosystem, including YARN
- Experience in Java and Python
- Comfort working with AI-assisted development tools such as Claude in an enterprise setting
- Experience with Prometheus-based monitoring and alerting
Similar Jobs at IMC Trading
.png){kind=avatar}
Fintech • Machine Learning • Software • Financial Services
Develop and maintain backend systems, automation, databases, data pipelines, dashboards, and visualization tools supporting finance, trading, and operations teams. Improve processing efficiency, system performance, and data accessibility across a global business intelligence environment. Collaborate with BI developers and business stakeholders while working with large datasets. The role requires Python, SQL, cloud, containerization, CI/CD, and agentic coding tool experience.
Top Skills:
AWSCi/CdClaude CodeCodexCursorDockerGitlab CiJIRAKubernetesPythonReactSQL
Fintech • Machine Learning • Software • Financial Services
Interest form for students who want to learn more about the 2027 US Chess Academy. Applicants join a prospect list and may receive information about upcoming opportunities, program updates, and how to play.
Fintech • Machine Learning • Software • Financial Services
Recruiter responsible for full-cycle hiring across technology and business operations. Partners with hiring managers, develops sourcing strategies, builds talent pipelines, assesses candidates, manages recruitment agencies, delivers strong candidate experiences, and improves recruiting processes using data and market insights.
Top Skills:
Applicant Tracking SystemsRecruitment Tools
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
