Senior SRE Engineer

Kronos Research is seeking a Senior SRE Engineer to manage large-scale Linux environments, operate HPC clusters, and manage multi-cloud infrastructures. The role requires strong autonomy and experience in Linux systems administration.

• •Manage large-scale Linux environments: troubleshooting and root-cause analysis
• •Write maintainable, hand-off-ready Bash / Ansible / Python automation
• •On-call for infrastructure, CI/CD, and production service incidents

• •Operate HPC clusters (Slurm) along with usage analytics, auditing, and monitoring tools
• •Maintain and plan storage for compute environments (Lustre, NAS)

• •Manage multi-cloud environments (AWS, Alibaba Cloud, GCP) with Terraform / AWS CDK
• •Build and operate Docker (ECS) / 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 (LangChain / LangGraph / Bedrock, Elasticsearch RAG)
• •Develop MCP servers, chatbots, AI agents, and similar services

• •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: can drive a problem from discovery, root-cause investigation, decision-making, to delivery with minimal supervision; able to make judgment calls under incomplete information and proactively communicate progress, risks, and rationale
• •Self-directed: doesn't wait for tickets — identifies problems worth solving and prioritizes them independently