
51 - 200 employees
Founded 2022
đŒ Consulting
đŠ Logistics
đŁ Marketing
đ° $34M Series A - Aiphoria on 2025-07
Consulting âą Logistics âą Marketing
Aiphoria is a provider of AI-driven virtual employees and a proprietary platform that automates multi-channel customer-facing and back-office tasks. Its Aiphoria Pros are multilingual, multi-modal agents (voice, chat, email, calls) that handle support, sales, collections, legal, HR and marketing workflows for enterprise customers in industries such as banking, telecom and eâcommerce. The company offers cloud and onâprem deployments, analytics and open-architecture integrations to reduce human labor, improve response times and boost customer satisfaction.
đ„ 1 minute ago
đ§đ· Brazil â Remote
â° Full Time
đ Senior
â DevOps & Site Reliability Engineer (SRE)
đ» Ghost score 12%
Ansible
AWS
Cloud
Docker
Google Cloud Platform
Grafana
Kafka
Kubernetes
Linux
Microservices
Postgres
Prometheus
Python
Terraform
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51 - 200 employees
Founded 2022
đŒ Consulting
đŠ Logistics
đŁ Marketing
đ° $34M Series A - Aiphoria on 2025-07
Consulting âą Logistics âą Marketing
Aiphoria is a provider of AI-driven virtual employees and a proprietary platform that automates multi-channel customer-facing and back-office tasks. Its Aiphoria Pros are multilingual, multi-modal agents (voice, chat, email, calls) that handle support, sales, collections, legal, HR and marketing workflows for enterprise customers in industries such as banking, telecom and eâcommerce. The company offers cloud and onâprem deployments, analytics and open-architecture integrations to reduce human labor, improve response times and boost customer satisfaction.
âą Deploy, operate, and evolve a microservices-based platform running in Kubernetes clusters across AWS, GCP, and on-premises Rancher âą Operate and support GPU-based ML inference services using Triton Inference Server and vLLM on RunPod, Scaleway, and Nebius âą Build and maintain Docker images for all microservices and ensure a stable service lifecycle âą Maintain and scale development and production Kubernetes clusters âą Participate in deployment debugging, incident investigation, and performance troubleshooting âą Develop, maintain, and evolve custom Helm charts for each service âą Design and operate CI/CD pipelines using GitHub and GitLab for on-premises customer deployments âą Ensure platform compliance with SOC 2 requirements and improve security and compliance processes âą Manage cluster access via NetBird VPN and implement role-based access control using group policies âą Deploy and manage infrastructure using Terraform and Ansible IaC practices âą Develop and continuously improve observability systems using Grafana, Prometheus, and the ELK stack âą Continuously optimize infrastructure across IaC, IAM, observability, and CI/CD âą Work with Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, and Ansible
âą Minimum 5 years of experience in a DevOps and/or Site Reliability Engineering role âą Strong hands-on experience with Linux system administration âą Extensive experience deploying, operating, and scaling Kubernetes in both cloud and bare-metal environments âą Deep expertise and practical experience with at least one major cloud provider, preferably Google Cloud Platform âą Experience with ML inference on GPU/CPU is a strong plus âą Proven experience implementing SRE practices and building observability stacks using Grafana, Prometheus, and Loki âą Strong adherence to GitOps, Infrastructure as Code (IaC), and CI/CD principles âą Advanced expertise in Terraform, Ansible, and Python âą Ability to work in high-uncertainty environments and rapidly learn new technologies and patterns âą Ability to look beyond DevOps tasks and actively debug and understand the product âą Ability to choose technologies and architectural approaches based on long-term goals âą English proficiency implied by private English lessons, but no explicit language requirement stated
âą Award-winning AI products and cutting-edge technology stack âą Fully remote âą 21 vacation days + public holidays + 5 sick days âą Private English lessons via Preply âą Startup pace with enterprise stability âą Fast career progression âą Real ownership and direct impact of work
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