Lead Site Reliability Engineer, Data Infrastructure
Tasks
- Architect high-performance inference solutions
- Communicate architectural risks and strategic trade-offs
- Define and drive reliability standards including SLOs and observability
- Ensure stable and high performance ML model serving
- Improve deployment workflows and systemic bottlenecks
- Mentor and grow engineering team
- Own reliability strategy and architectural evolution of ML deployment platform
Perks/Benefits
- 25 days holiday
- Dog-friendly office
- Gym in Vilnius
- Home office support
- Hybrid work model
- In-house meals in Vilnius
- Lunch allowance in Kaunas
- Mental health support
- Personal shopping budget
- Private health insurance
- Professional growth budget
- Share options
- Team building events
- Tools and tech access
- Workation opportunities
Skills/Tech-stack
Chef | Cloud platform | Evaluation tools | GPU Workloads | Go | Google Cloud | Google Cloud Platform | High scale | High-scale networking | Inference frameworks | Inference frameworks like NKernel | Kubernetes | LLM Evaluation | LLM evaluation tools | Linux Internals | NVIDIA Triton | Python | Terraform | VLLM
Education
N/A
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