Senior SRE Engineer

Responsibilities

• Linux Systems & Automation (Core)

• 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

• HPC Cluster & Storage

• Operate HPC clusters (Slurm) along with usage analytics, auditing, and monitoring tools

• Maintain and plan storage for compute environments (Lustre, NAS)

• Cloud & Hybrid Infrastructure

• Manage multi-cloud environments (AWS, Alibaba Cloud, GCP) with Terraform / AWS CDK

• Build and operate Docker (ECS) / Kubernetes (EKS) environments and their deployment workflows

• CI/CD & Developer Experience

• Operate self-hosted GitLab server and Runner fleet

• Operate CI/CD systems and design deployment pipelines for research and other projects

• GenAI / Internal Platform

• Build internal AI platforms (LangChain / LangGraph / Bedrock, Elasticsearch RAG)

• 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: 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

• Nice to Have

• HPC scheduler experience (Slurm / PBS / LSF)

• Parallel filesystem operations experience (Lustre / GPFS / BeeGFS)

• Advanced Linux performance analysis (perf, eBPF, ftrace) and kernel parameter tuning

• DB operations experience (MySQL, ClickHouse)

• Low-latency network tuning and cross-datacenter link optimization

• LLM application development (LangChain, RAG, Agent, MCP)

• Self-managed Kubernetes experience (Kubespray, kubeadm)

• GPU server operations (single-node): NVIDIA driver / CUDA toolkit version management, nvidia-smi / DCGM monitoring, nvidia-container-toolkit integration, troubleshooting XID / ECC errors and thermal throttling

• Experience or familiarity with integrating GPU resources into Slurm: GRES configuration, cgroup-based GPU isolation, user/job-level resource limits