About this role
Engineering role focused on building and scaling core Scale GP infrastructure in a fast-paced, multi-cloud setting, integrating with customer data environments and delivering robust backend solutions.
Key Responsibilities
- Architect multi-cloud systems and abstractions
- Implement integrations with customer data environments
- Collaborate with platform, product, and customers
- Deliver experiments with high velocity
- End-to-end product lifecycle from concept to production
Technical Overview
Stack includes Python/JavaScript/TypeScript, SQL, Kubernetes, Docker, and major cloud providers (AWS/Azure/GCP); emphasis on Linux, containerization, data pipelines, and LLM-related tech.
Ideal Candidate
A mid-level software engineer with 4+ years building scalable, multi-cloud infrastructure for enterprise GenAI, familiar with LLM tooling (vector DBs, data warehouses) and modern cloud-native architectures.
Must-Have Skills
4+ years of full-time engineering experienceExperience scaling products at hyper growth startupsExperience tinkering with or productizing LLMsvector databasesand the other latest AI technologiesProficient in Python or Javascript/Typescriptand SQLExperience with KubernetesExperience with major cloud providers (AWSAzureGCP)Excellent communication skills
Nice-to-Have Skills
Familiarity with Node and React is a plus
Tools & Platforms
PythonJavaScript/TypeScriptSQLKubernetesDockerAmazon Web ServicesMicrosoft AzureGoogle Cloud PlatformLinuxShell scriptingContainerizationContainer orchestrationData warehousesETLVector databasesLLMs
Required Skills
PythonJavascript/TypescriptSQLKubernetesDockerAmazon Web ServicesAzureGoogle Cloud PlatformLinuxshell scriptingcontainerizationcontainer orchestrationData warehousesETLvector databasesLLMsdata engineeringmulticloudcloud providers
Hard Skills
PythonJavascript/TypescriptSQLKubernetesDockerAmazon Web ServicesAzureGoogle Cloud PlatformLinuxshell scriptingcontainerizationcontainer orchestrationData warehousesETLvector databasesLLMsdata engineeringmulticloudcloud providerslarge-scale distributed systemsdata pipelines
Soft Skills
communicationproblem solvingteamworkability to explain technical concepts to non-technical audiencescollaboration
Keywords for Your Resume
Infrastructure Software EngineerEnterprise GenAIKubernetesDockerPythonJavascript/TypescriptSQLAmazon Web ServicesAzureGoogle Cloud PlatformLinuxshell scriptingcontainerizationcontainer orchestrationdata pipelinesvector databasesLLMsdata warehousesmulticloudcloud providersData pipelines
Deal Breakers
Less than 4 years of engineering experience, Lack of Kubernetes/Docker experience, No cloud provider experience (AWS/Azure/GCP), Poor communication skills
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