Senior DevOps Engineer

Casado; São Paulo; Remote; BRL 180,000 - 360,000; Full time

Benefits offered by this job

Fully remote

21 vacation days + public holidays + 5

Private English lessons via Preply

Job summary

Casado is seeking a DevOps/SRE Engineer to strengthen the team and scale a microservices platform across AWS, GCP and on‑prem environments. You will build, deploy and operate Kubernetes clusters, and maintain GPU‑enabled ML inference services.

We value 5+ years in DevOps/SRE, Linux mastery, Terraform/Ansible/Python, and a strong GitOps approach, with a track record of designing scalable, secure systems.

Qualifications

• Minimum 5 years in DevOps and/or SRE roles.
• Strong Linux system administration experience.
• Extensive Kubernetes deployment, operation and scaling experience.
• Deep cloud provider expertise (preferably GCP, AWS acceptable).
• Experience with ML inference on GPU/CPU is a plus.
• Proven SRE practices and observability stack knowledge (Grafana/Prometheus/Loki).
• Strong GitOps, IaC and CI/CD fundamentals.
• Advanced Terraform, Ansible and Python skills.
• Ability to learn quickly in a high-uncertainty product environment.
• Proactive debugging and strategic technology choices for long-term goals.

Responsibilities

• Deploy, operate and evolve microservices on Kubernetes across cloud and on‑prem (Rancher).
• Support GPU-based ML inference services (TRITON, vLLM) on RunPod/Scaleway/Nebius.
• Build and maintain Docker images; ensure stable service lifecycle.
• Scale Kubernetes clusters and participate in incident response and performance tuning.
• Develop and evolve custom Helm charts for services.
• Design CI/CD pipelines with GitHub and GitLab for on‑prem deployments.
• Ensure SOC 2 compliance and improve security processes.
• Manage cluster access via VPN with RBAC and group policies.
• IaC-driven infrastructure using Terraform and Ansible.
• Develop observability with Grafana/Prometheus and ELK/Log storage.

Skills

Kubernetes operations

Linux administration

GitOps / IaC

CI/CD practices

Terraform

Ansible

Python

Cloud experience (GCP/AWS)

ML inference (GPU/CPU)

Observability: Grafana/Prometheus/Loki

Tools

Docker

Rancher

Triton Inference Server

vLLM

RunPod

Scaleway

Nebius

GitHub CI/CD

GitLab

Prometheus

ELK stack

ClickHouse

Kafka

Superset

Terraform

Ansible

Job description

We are looking to strengthen our team for a DevOps/SRE Engineer!

Requirements:

• Minimum 5 years of experience in a DevOps and/or Site Reliability Engineering role
• Strong hands-on experience with Linux system administration
• Extensive experience deploying, operating, and scaling Kubernetes in both cloud and bare-metal environments
• Deep expertise and practical experience with at least one major cloud provider (preferably Google Cloud Platform)
• Experience with ML inference on GPU/CPU is a strong plus
• Proven experience implementing SRE practices and building observability stacks using Grafana, Prometheus, and Loki
• Strong adherence to GitOps, Infrastructure as Code (IaC), and CI/CD principles
• Advanced expertise in Terraform, Ansible, and Python
• Comfortable working in high-uncertainty environments: we are building a new product, requirements evolve quickly, and the ability to rapidly learn new technologies and patterns is essential
• Proactive mindset: ability to look beyond DevOps tasks and actively debug and understand the product
• Strategic thinking: ability to choose technologies and architectural approaches based on long‑term goals rather than short‑term compromises

Responsibilities:

• Deploy, operate, and evolve a microservices‑based platform running in Kubernetes clusters across AWS, GCP, and on‑prem (Rancher)
• Operate and support GPU‑based ML inference services (Triton Inference Server, vLLM) deployed on RunPod, Scaleway, and Nebius
• Build and maintain Docker images for all microservices and ensure a stable service lifecycle
• Maintain and scale development and production Kubernetes clusters, actively participate in deployment debugging, incident investigation, and performance troubleshooting
• Develop, maintain, and evolve custom Helm charts for each service
• Design and operate CI/CD pipelines using GitHub (code and pipelines) and GitLab for on‑prem customer deployments
• Ensure platform compliance with SOC 2 requirements and actively contribute to improving security and compliance processes
• Manage cluster access via NetBird VPN, implementing role‑based access control using group policies
• Deploy and manage infrastructure using IaC practices with Terraform and Ansible
• Develop and continuously improve observability systems:Grafana & Prometheus for metricsELK stack for centralized log storage and analysis
• Continuously optimize infrastructure in the areas of IaC, IAM, Observability, and CI/CD

Work with a technology stack, including:

• Python
• Kubernetes
• Linux
• Docker
• GitHub CI/CD
• PostgreSQL
• ClickHouse
• Kafka
• Superset
• Terraform
• Ansible

What we offer:

• The team has built award‑winning AI products for tech corporations — devices, voice assistants, products that are actually in the world
• Cutting‑edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice‑first agentic architecture with privacy‑first and on‑premises deployment
• High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
• Fast career progression — a senior‑heavy team and a high volume of real problems means you grow faster than you would anywhere else
• Startup pace with enterprise stability — real clients, real revenue, no bureaucracy
• Fully remote21 vacation days + public holidays + 5 sick daysPrivate English lessons via Preply