Senior DevOps Engineer

Acclaim AI; Municipio de Esquel; Remote; ARS 136,254,000 - 227,090,000; Full time

Benefits offered by this job

Fully remote

21 vacation days + holidays + sick

Private English lessons

Job summary

Acclaim AI in a remote setting is seeking a seasoned DevOps/SRE Engineer to fortify a microservices platform. You will manage Kubernetes clusters across cloud and on-prem, support GPU-based ML inference, and drive CI/CD and IaC practices to scale production systems.

You will build Docker images, maintain Helm charts, and enforce security and SOC 2 controls while advancing observability with Prometheus, Grafana, and ELK.

Qualifications

• Minimum 5 years in DevOps/SRE roles.
• Strong Linux system administration.
• Extensive Kubernetes in cloud and on-prem.
• Experience with major cloud provider, preferably GCP.
• Experience with ML inference on GPU/CPU is a plus.
• Proven SRE practices and observability stacks with Grafana/Prometheus/Loki.
• GitOps, IaC, and CI/CD mastery.
• Terraform, Ansible, and Python expertise.
• Ability to learn quickly in uncertain environments.
• Proactive debugging and understanding of the product.
• Strategic tech choices for long-term goals.

Responsibilities

• Deploy, operate, and evolve a microservices platform in Kubernetes across AWS, GCP, on-prem Rancher.
• Operate GPU-based ML inference services (Triton, vLLM) on RunPod/Scaleway/Nebius.
• Build and maintain Docker images for all microservices.
• Scale and maintain Kubernetes clusters; participate in deployments and incident response.
• Develop and evolve custom Helm charts.
• Design and operate CI/CD pipelines with GitHub and GitLab for on-prem deployments.
• Ensure SOC 2 compliance and improve security processes.
• Manage cluster access via NetBird VPN with RBAC.
• Deploy infrastructure with Terraform and Ansible.
• Develop observability systems: Grafana/Prometheus/ELK.
• Optimize IaC, IAM, Observability, and CI/CD.
• Work with stack: Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, Ansible.

Skills

Linux admin

Kubernetes

Cloud platforms

ML inference

Observability

GitOps

IaC

CI/CD

Terraform

Ansible

Python

Security

Troubleshooting

Tools

Docker

Kubernetes

Rancher

GitHub

GitLab

Prometheus

Grafana

Loki

Terraform

Ansible

NetBird

Triton

RunPod

ClickHouse

PostgreSQL

Kafka

Superset

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