> Markdown version of [/jobs/ext/2706803-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/2706803-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Engineer - **Company:** Tamarind Bio Inc. - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Bash Shell, Computational Biology, Nvidia CUDA, DevOps, Amazon DynamoDB, Monitoring of Systems, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Value Engineering, Web Applications, Pulumi, Graphics Processing Unit (GPU), Cloud Platform System, Pytorch, ReactJS, System Availability, Kubernetes, Infrastructure Automation Frameworks, Build Tools, Slurm, Software Coding, Terraform, Docker - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/infrastructure-engineer-tamarind-bio-8134064 ## About the Role * Solid programming and automation skills * Experience with containerization and orchestration concepts * Cloud platform knowledge (AWS/GCP/Azure) * Located in the SF Bay Area or able to relocate to the Bay Area * Onsite expectation: Team currently onsite in SF ~5 days/week. Preferred * Experience scaling production systems * Kubernetes experience * Infrastructure as code tools (Terraform, Pulumi) * Monitoring and observability tools * Experience with GPU workloads ## Description We're looking for two Infrastructure Engineers to lead the scaling of our machine learning inference system. You'll be responsible for architecting and maintaining infrastructure that serves 150+ biological ML models, scaling our platform several orders of magnitude to meet rapidly growing demand. You'll work closely with the founders to design to the constraints of customer needs, unpredictable workloads, and unique Bio-ML models. You'll work with Kubernetes and other tools to orchestrate containerized workloads, optimize resource allocation, and ensure high availability across our model serving infrastructure. Most importantly, you should thrive in a fast-paced startup environment where you'll wear multiple hats, learn new technologies quickly, and help solve novel technical challenges. We value engineering judgment, problem-solving ability, and the capacity to build systems that can evolve with our growing needs. Techstack: * Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs & web apps., Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We deal with problems ranging from scaling ML inference on AWS for hundreds of GPUs to dissecting pdb files with Biopython. 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