Sentient
Senior DevOps Engineer
Sentient, San Francisco, California, United States, 94199
At Sentient, we’re pioneering the decentralized artificial general intelligence (AGI) frontier, breaking free from the constraints of centralized AI models. Our cutting-edge platform is designed to democratize AI development, empowering communities to collaboratively train and control AI models in a truly open and accessible ecosystem.Fueled by our expertise in distributed systems, cryptography, and AI, we’re building a game-changing environment that fosters open-source development and ensures fair value distribution. Say goodbye to the monopolies of the past – Sentient’s decentralized network promotes model composability and adherence to our foundational principles of transparency, trust, and inclusivity.Imagine being part of a team that’s shaping the future of AGI, where innovation knows no boundaries, and the collective intelligence of global communities drives progress. Join us on this exhilarating journey as we redefine the AI landscape, unleashing the full potential of trustless, decentralized AGI.Sentient is backed by leading Silicon Valley venture capital firms including Founders’ Fund, Pantera, and Framework.Responsibilities
Design, implement, and maintain end-to-end DevOps solutions for large-scale applicationsArchitect and manage robust cloud infrastructure on AWS and GCP using Infrastructure as CodeImplement and optimize CI/CD pipelines for frequent, reliable releasesMonitor and optimize cloud infrastructure budget and spending across environmentsMaintain multi-environment setups (dev, UAT, prod) with code-driven synchronizationImplement serverless architectures and optimize cloud resource utilizationSet up and manage advanced release management processesImplement security measures, including IAM, security groups, and encryptionOptimize CDNs, load balancers, and caching strategies for high performanceWrite comprehensive documented testing code to ensure product reliabilityEstablish backup, disaster recovery, and high availability solutionsCreate comprehensive observability solutions for infrastructure and application performance, including for end-to-end AI productsRequired Qualifications
5+ years hands-on experience in end-to-end DevOps for large applications or startupsDeep expertise in AWS and GCP services including:Compute: EC2, GCE, Lambda, Cloud FunctionsContainerization: ECS, GKE, ECR, Container RegistryStrong proficiency in Infrastructure as Code (Terraform, CDK, Cloud Deployment Manager)Extensive experience with CI/CD tools and advanced release management techniquesExpertise in containerization (Docker) and orchestration (Kubernetes, EKS, GKE)Proven track record of implementing complex networking solutionsStrong background in cloud security best practices and DDoS mitigationDemonstrated ability to optimize cloud costs and resource utilizationExperience designing and implementing multi-region, highly available architecturesValues
Appreciate and pursue deep expertiseEmbrace extreme ownership and bias for actionWant to take risks and act upon ambition with integrity and empathyPursue relentless innovation and experimentationInvest in personal growth and team collaboration
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Design, implement, and maintain end-to-end DevOps solutions for large-scale applicationsArchitect and manage robust cloud infrastructure on AWS and GCP using Infrastructure as CodeImplement and optimize CI/CD pipelines for frequent, reliable releasesMonitor and optimize cloud infrastructure budget and spending across environmentsMaintain multi-environment setups (dev, UAT, prod) with code-driven synchronizationImplement serverless architectures and optimize cloud resource utilizationSet up and manage advanced release management processesImplement security measures, including IAM, security groups, and encryptionOptimize CDNs, load balancers, and caching strategies for high performanceWrite comprehensive documented testing code to ensure product reliabilityEstablish backup, disaster recovery, and high availability solutionsCreate comprehensive observability solutions for infrastructure and application performance, including for end-to-end AI productsRequired Qualifications
5+ years hands-on experience in end-to-end DevOps for large applications or startupsDeep expertise in AWS and GCP services including:Compute: EC2, GCE, Lambda, Cloud FunctionsContainerization: ECS, GKE, ECR, Container RegistryStrong proficiency in Infrastructure as Code (Terraform, CDK, Cloud Deployment Manager)Extensive experience with CI/CD tools and advanced release management techniquesExpertise in containerization (Docker) and orchestration (Kubernetes, EKS, GKE)Proven track record of implementing complex networking solutionsStrong background in cloud security best practices and DDoS mitigationDemonstrated ability to optimize cloud costs and resource utilizationExperience designing and implementing multi-region, highly available architecturesValues
Appreciate and pursue deep expertiseEmbrace extreme ownership and bias for actionWant to take risks and act upon ambition with integrity and empathyPursue relentless innovation and experimentationInvest in personal growth and team collaboration
#J-18808-Ljbffr