SRE

We currently have several large-scale projects and are expanding our infrastructure team. Our product is an advanced platform for creating and managing AI agents. It can be deployed directly inside a customer’s infrastructure and delivered as an enterprise solution, while also being available as a SaaS version. Under the hood, there is real-time voice and telephony, GPU and LLM inference, streaming analytics, and all of this runs both in the cloud and on-prem, including in banking environments. There is a lot of infrastructure; it is complex, interesting, and sometimes at the edge of what is possible. That is why we are looking for a strong SRE who, like us, cares about making systems transparent, reliable, and built the right way. This is a role for a strong, independent engineer. A Senior SRE with real influence and a voice in how things are built and operated. You will also handle DevOps tasks for the team, but your main focus and area of expertise should be SRE: reliability, observability, incident management, and performance under load. Requirements 5+ years in SRE/DevOps. You have not just seen production; you have been responsible for the reliability of high-load production systems. Deep, practical understanding of Docker and Kubernetes. You have operated them in production, not just used them in tutorials. Mature understanding of metrics and alerts, with real hands-on experience writing, tuning, and maintaining them. Practical experience with Prometheus, Alertmanager, and Grafana. Ability and willingness to build dashboards and make them clear, useful, and easy to work with. Experience with SLIs/SLOs, reliability management, incident investigation, and postmortems. Experience with load testing and basic capacity planning. Python: you can write code and confidently read and modify other people’s code for automation, exporters, tooling, and related tasks. Cloud experience with GCP and/or AWS, strong Linux skills, and solid networking knowledge at an operational level. DevOps fundamentals: CI/CD and infrastructure as code, including GitHub Actions, Terraform, Ansible, and similar tools. Willingness to understand and support the product in customer environments, including on-prem deployments. Ownership mindset: you take responsibility for a task, drive it to completion, and think one step ahead. Friendly, non-toxic, and pleasant to work with. Strong communication with developers: you can clearly and constructively explain your position, defend it when needed, and find common ground. Willingness and ability to mentor, teach, and share knowledge with others. Analytical mindset: you dig down to the root cause instead of just treating symptoms. Proactivity: you would rather prevent an outage than heroically fight it later. Strong attention to detail and reliability. Nice to have Experience using AI agents for routine and recurring tasks. Real-time telephony: SIP, FreeSWITCH, RTP, WebRTC. GPU/ML serving: Triton, vLLM, RunPod, Nebius, Lambda, run:ai, DCGM; understanding of the specifics of deploying LLM/ML models. Streaming data and analytics: Kafka, ClickHouse. Deep experience with IaC and GitOps, such as Terraform, Ansible, ArgoCD; logging with Loki/ELK; gRPC. Experience working in isolated and highly secure environments. Experience preparing systems for significant growth in load.

Responsibilities

You will be responsible for the reliability of our services: SLIs/SLOs, availability, and identifying and eliminating bottlenecks across the system. You will set up monitoring for services, metrics, alerts, and dashboards. This will rarely come as a clearly defined task; more often, you will decide what is important to measure and bring it to a clear, usable view. You will build and maintain Grafana dashboards that people actually use, both our team and our customers. You will run load testing, analyze the results, and provide recommendations on resources and scaling. You will investigate incidents, participate in on-call rotations, write and lead postmortems, and ensure the same failure does not happen again. You will work closely with developers: communicate and defend your position, challenge technical decisions, and find win-win solutions. You will develop and support Kubernetes-based infrastructure across our clouds, including GCP and AWS, automate routine work, and help with CI/CD and general team tasks. You will take part in delivering and supporting the platform for customers, including on-prem deployments. You will mentor colleagues and help raise the engineering bar across the team. 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 across Europe 21 vacation days + public holidays + 5 sick days Private English lessons via Preply