Principal Cloud Platform Engineer
SambaNova Systems · Austin, Texas, United States; San Jose, California, United States
Posted about 3 months ago · Previously reposted
or apply directly on SambaNova Systems's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 76 days SambaNova Systems's roles stay open a median of 69 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 0% of SambaNova Systems's roles list one
- Ghost-job risk at SambaNova Systems
- high 57 stale, 2 reposted of 57 open
- Hiring momentum
- 68 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from SambaNova Systems's own greenhouse board since 2026-08-03. Full hiring picture for SambaNova Systems.
About this role
As a Principal Cloud Platform Engineer at SambaNova, you will focus on the AI Inferencing Service, ensuring its reliability, performance, and scalability. Your role involves managing the production service across various regions, automating infrastructure, and participating in incident response. You will also build monitoring tools and CI/CD pipelines, while collaborating with finance to manage cloud spending and define service level objectives.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SambaNova Systems as an employer.
What you need
- B.S. in Computer Science, Computer Engineering, or related field
- 5+ years of experience in a Site Reliability Engineering, DevOps
- Experience supporting a large-scale, customer-facing service in a public cloud environment (AWS, GCP, Azure)
- Strong programming and scripting skills in languages like Python, Go, Rust, or Java
- Proven experience with containerization and orchestration technologies (Docker and Kubernetes)
- Deep understanding of monitoring and observability principles and tools (e.g., Prometheus, Grafana, ELK Stack, Datadog)
Nice to have
- Experience in a hybrid environment bridging cloud and on-premise/data center infrastructure
- Direct experience supporting ML/AI inferencing services in production
- Familiarity with GPU-accelerated computing and optimizing workloads for NVIDIA GPUs for purposes of mapping to RDUs
- Knowledge of model serving frameworks like vLLM, SGLang or Ray
- Understanding of MLOps principles and practices
What you get
- Competitive total rewards package, including base salary and equity
- 95% premium coverage for employee medical insurance
- 77% premium coverage for dependents
- Health Savings Account (HSA) with employer contribution
- Dental and Vision insurance
- Short/Long term Disability insurance
Worth weighing
- No specific mention of remote work options
- On-call rotation may require availability outside of standard hours
- Role involves significant operational responsibilities which may lead to high-pressure situations
Summarised from SambaNova Systems's posting. Read the full original.
Listed by SambaNova Systems on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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