Vacancy description
MantriAI
India, भारत
This is a remote https://jobeax.com/link/7GZCgu8EoorXD40O the role :A well-funded, seed-stage industrial-AI company is looking for an experienced, hands-on DevOps engineer who has already built and managed infrastructure in an early-stage startup or taken a system from https://jobeax.com/link/nKMHjcuxBQ4d72tN will own the cloud infrastructure and set the standards for security, monitoring and incident https://jobeax.com/link/3vqbsPd59UDP79Cg will also work as a core partner on the infrastructure that serves the company's main ML/AI https://jobeax.com/link/mnlZ94yAiZWpc2xN need a versatile generalist who can work independently with little oversight and take on a wide range of https://jobeax.com/link/ytYIGspBgvzrmawu you will own :- Infrastructure : Design, deploy and run scalable, highly available infrastructure across multiple cloud environments using Infrastructure as Code (for example Terraform or CloudFormation).- CI/CD : Build, run and improve the CI/CD pipelines used across the whole company.- Observability : Set up and operate monitoring, logging and alerting (for example Prometheus, Grafana or the ELK stack) so services stay healthy and perform well.- Security : Define and enforce security practice across infrastructure and applications, covering secrets management, network segmentation and vulnerability patching.- Cloud cost : Look for savings in cloud spend on your own initiative and put them in place without hurting performance or reliability.- Engineering support : Work alongside engineers to make development workflows smoother, resolve production issues and support their infrastructure https://jobeax.com/link/VjPQTEyNtSHhhqOP we are looking for :- At least 5 years as a DevOps engineer, Site Reliability Engineer (SRE) or in a comparable role.- Proven experience in a seed-stage startup or a ground-up build, and an understanding of what that means: limited resources, quick changes of direction and a hands-on, do-everything approach.- Solid working knowledge of Docker and Kubernetes (EKS, GKE or AKS).- Expert-level skill with Terraform or a comparable Infrastructure as Code tool.- Experience building and maintaining CI/CD pipelines (for example GitLab CI, GitHub Actions or Jenkins).- Hands-on database administration experience (for example PostgreSQL, MongoDB or Redis).Nice to have :- MLOps experience, including production serving infrastructure for machine learning models.- Security certifications, or deep experience with cloud security frameworks.- Experience with on-prem deployments and observability.- Experience building and deploying ML models on real-time time-series data, such as sensor or IoT https://jobeax.com/link/8PdYaAWEFpZZULUa apply :Send your resume and a short example of infrastructure you built or ran yourself, with your role and the outcome. (ref:hirist.tech)