Forward Deployed Engineer

• Build, deploy, and scale zaimler’s platform in diverse customer environments (Kubernetes-native, often hybrid cloud)
• Own the infrastructure stack: provisioning, scaling, monitoring, and incident handling for data/ML pipelines.
• Stand up and optimize distributed compute systems using Ray, Kubernetes, and supporting cloud services.
• Bridge ML and infra. Help ML engineers productionize knowledge extraction, entity linking, and retrieval pipelines
• Write Terraform, Helm charts, Dockerfiles, and bash scripts that others rely on
• Contribute to internal tooling, automation, and observability to make zaimler repeatable and scalable.
• Interface directly with early customers to understand their environment, workflows, and edge cases.

• 3+ years of experience in backend or infrastructure roles (infra/platform, SRE, or devops welcome)
• Deep familiarity with Kubernetes, Docker, Terraform, and Helm
• Experience managing or deploying distributed compute frameworks (Ray, Dask, Spark, etc.)
• Fluency in at least one scripting language (Python, Bash, Go preferred)
• Strong debugging skills across the stack—from network hiccups to memory leaks
• Experience deploying in cloud-native environments (AWS/GCP/Azure)
• Comfortable being customer-facing and managing ambiguity in real-time
• Strong sense of ownership and bias toward action in early-stage environments

• Experience deploying or integrating LLMs or vector databases
• Background in ML Ops or building/operating data infrastructure at scale
• Familiarity with GPU optimization, multi-tenancy, or air-gapped environments
• Prior startup or zero-to-one deployment experience
• Familiar with Ray Serve, VLLM, or similar frameworks
• You’ve been in a forward-deployed, solutions engineer or field engineer role before

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.