Deploy, operate, and evolve a microservices-based platform across multiple cloud and on-prem environments. Manage infrastructure, CI/CD pipelines, and observability systems while ensuring platform compliance and security.
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
“I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”
— Sarah J.
·
Marketing Manager
★★★★★
Verified
