Senior DevOps Engineer

Acclaim AI; São Paulo; Remote; BRL 506,000 - 809,000; Full time

Benefits offered by this job

Fully remote

Private English lessons via Preply

21 vacation days + holidays + 5 sick+

Job summary

Acclaim AI is seeking a DevOps/SRE Engineer to strengthen our team for a fully remote role. You will deploy, operate, and scale a microservices platform on Kubernetes across cloud and on-prem environments, including GPU-based ML inference services and robust CI/CD pipelines.

The role requires deep cloud, IaC, and observability expertise, with a proactive, strategic mindset. You will work with a stack including Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka,

Qualifications

• Minimum 5 years of experience in a DevOps/SRE role.
• Strong hands-on Linux system administration.
• Extensive experience deploying and scaling Kubernetes in cloud and on-prem environments.
• Deep expertise 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 observability stacks using Grafana, Prometheus, and Loki.
• Strong adherence to GitOps, 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.
• Proactive mindset with ability to debug and understand the product; strategic thinking for long-term tech choices.

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, Nebius.
• Build and maintain Docker images for all microservices and ensure a stable service lifecycle.
• Maintain and scale development and production Kubernetes clusters; 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 and GitLab for on-prem deployments.
• Ensure platform compliance with SOC 2 requirements and contribute to security improvements.
• Manage cluster access via NetBird VPN with RBAC and group policies.
• Deploy and manage infrastructure using Terraform and Ansible.
• Develop and continuously improve observability systems: Grafana, Prometheus, ELK stack.
• Continuously optimize IaC, IAM, Observability, and CI/CD.
• Work with tech stack: Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, Ansible.

Skills

Linux administration

Kubernetes operations

Cloud computing

GitOps

IaC (Terraform, Ansible)

Python

CI/CD

Observability stack (Grafana/Promheus/

Tools

Kubernetes

Terraform

Ansible

Python

GitHub CI/CD

GitLab

Docker

Grafana

Prometheus

Loki

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 metrics
• ELK 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 remote
• 21 vacation days + public holidays + 5 sick days
• Private English lessons via Preply