Senior SRE Engineer
Kronos Research is a quantitative trading firm providing technology-driven trading and liquidity solutions across global digital-asset markets. It serves exchanges, protocols, institutional clients, investors, allocators, and founders.
About Kronos Research
Kronos Research delivers quantitative trading and liquidity services for digital-asset markets. Its offerings include market liquidity provision for protocol tokens and exchanges, capital deployment through investment solutions and structured products, systematic OTC liquidity for major digital assets, and strategic venture investments in digital-asset companies. The firm positions its services for exchanges and protocols, investors and allocators, institutions, and founders, and states that its products and services are offered exclusively to professional or qualified investors.
Skills
About the Role
As a Senior SRE Engineer, you will manage large-scale Linux environments, performing troubleshooting and root-cause analysis while writing maintainable Bash, Ansible, and Python automation. You will take part in on-call rotations for infrastructure, CI/CD, and production service incidents. You will operate HPC clusters built on Slurm along with usage analytics, auditing, and monitoring tools, and you will maintain and plan storage for compute environments using Lustre and NAS. You will manage multi-cloud environments across AWS, Alibaba Cloud, and GCP using Terraform and AWS CDK, and build and operate Docker and Kubernetes environments and their deployment workflows. You will operate a self-hosted GitLab server and Runner fleet, and design and operate CI/CD systems and deployment pipelines for research and other projects. You will also build internal AI platforms using LangChain, LangGraph, Bedrock, and Elasticsearch RAG, and develop MCP servers, chatbots, AI agents, and similar services.
Requirements
- 5+ years of hands-on Linux systems administration and infrastructure operations experience
- Solid Linux internals knowledge (process, memory, filesystem, networking, systemd, cgroup); able to localize issues even without complete logs
- Strong Bash / Shell scripting skills, able to write maintainable scripts that others can pick up
- Programming ability for data processing, CLI tools, and API services; Python proficiency preferred
- Solid storage fundamentals with hands-on experience: RAID levels and rebuild trade-offs, filesystem selection, snapshot and backup planning; NAS / shared storage (NFS / SMB) operations experience
- Experience with at least one major public cloud (AWS / GCP / Alibaba Cloud) and IaC tooling (Terraform / CDK / Ansible)
- Familiar with containerization and orchestration (Docker, Kubernetes)
- CI/CD pipeline design and operations experience (GitLab CI / Jenkins / Airflow)
- Able to own a cross-service subsystem end-to-end: design, implementation, documentation, handoff
- Strong autonomy to drive a problem from discovery, root-cause investigation, decision-making, to delivery with minimal supervision
- Self-directed and able to identify and prioritize problems worth solving independently
Responsibilities
- Manage large-scale Linux environments including troubleshooting and root-cause analysis
- Write maintainable, hand-off-ready Bash, Ansible, and Python automation
- Provide on-call support for infrastructure, CI/CD, and production service incidents
- Operate HPC clusters using Slurm along with usage analytics, auditing, and monitoring tools
- Maintain and plan storage for compute environments using Lustre and NAS
- Manage multi-cloud environments across AWS, Alibaba Cloud, and GCP using Terraform and AWS CDK
- Build and operate Docker (ECS) and Kubernetes (EKS) environments and their deployment workflows
- Operate self-hosted GitLab server and Runner fleet
- Operate CI/CD systems and design deployment pipelines for research and other projects
- Build internal AI platforms using LangChain, LangGraph, Bedrock, and Elasticsearch RAG
- Develop MCP servers, chatbots, AI agents, and similar services
