Senior Software Engineer - Infrastructure
Lexsi Labs is a frontier lab focused on building scalable, safe, and interpretable AI platforms. This role involves architecting and operating the core backend, deployment, and inference infrastructure at production scale. The ideal candidate will have strong Python and cloud engineering skills with experience in Kubernetes and multi-cloud environments. You will own the full lifecycle of infrastructure, ensuring reliability and performance for AI systems.
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Experience
3+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Lexsi Labs is a frontier lab focused on building scalable, safe, and interpretable AI platforms. This role involves architecting and operating the core backend, deployment, and inference infrastructure at production scale. The ideal candidate will have strong Python and cloud engineering skills with experience in Kubernetes and multi-cloud environments. You will own the full lifecycle of infrastructure, ensuring reliability and performance for AI systems.
TAL's take
Solid technical requirements in the AI infrastructure space with clear role expectations.
Very well-defined role with specific technical requirements and clear responsibilities.
Must haves
- 3+ years experience in backend or platform engineering
- Strong Python expertise
- Hands-on experience with Docker and Kubernetes in production
- Experience designing and operating multi-cloud infrastructure
- Understanding of Infrastructure as Code and declarative workflows
- Experience building and maintaining CI/CD pipelines
Tools and skills
Nice to have: kserve, kubeflow, ray, gpu workloads, serverless architectures.
About the company
Unfamiliar company, default mid-tier assigned.